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Location: Vilnius Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat. What You Will Be Doing Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment. Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle. Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts. Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production. Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred. Who You Are At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI). Strong in SQL and Python, and with cloud data platforms (e.g. Databricks). Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity. Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus. Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting. A quantitative education (math, engineering, economics, or CS) and full working proficiency in English. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Poland Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat. What You Will Be Doing Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment. Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle. Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts. Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production. Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred. Who You Are At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI). Strong in SQL and Python, and with cloud data platforms (e.g. Databricks). Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity. Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus. Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting. A quantitative education (math, engineering, economics, or CS) and full working proficiency in English. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Serbia Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat. What You Will Be Doing Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment. Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle. Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts. Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production. Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred. Who You Are At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI). Strong in SQL and Python, and with cloud data platforms (e.g. Databricks). Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity. Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus. Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting. A quantitative education (math, engineering, economics, or CS) and full working proficiency in English. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Romania Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat. What You Will Be Doing Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment. Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle. Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts. Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production. Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred. Who You Are At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI). Strong in SQL and Python, and with cloud data platforms (e.g. Databricks). Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity. Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus. Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting. A quantitative education (math, engineering, economics, or CS) and full working proficiency in English. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Bulgaria Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat. What You Will Be Doing Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment. Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle. Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts. Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production. Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred. Who You Are At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI). Strong in SQL and Python, and with cloud data platforms (e.g. Databricks). Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity. Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus. Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting. A quantitative education (math, engineering, economics, or CS) and full working proficiency in English. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Portugal; France Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat. What You Will Be Doing Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment. Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle. Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts. Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production. Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred. Who You Are At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI). Strong in SQL and Python, and with cloud data platforms (e.g. Databricks). Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity. Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus. Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting. A quantitative education (math, engineering, economics, or CS) and full working proficiency in English. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Spain Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat. What You Will Be Doing Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment. Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle. Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts. Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production. Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred. Who You Are At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI). Strong in SQL and Python, and with cloud data platforms (e.g. Databricks). Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity. Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus. Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting. A quantitative education (math, engineering, economics, or CS) and full working proficiency in English. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Workplace: remote Location : Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world. Responsibilities : Design and run AWS infrastructure (VPC, IAM, EKS/ECS, S3, EventBridge) and manage it with Terraform across DEV, QA and Production environments Build and maintain CI/CD pipelines and a standardized deployment process for AI agent teams Keep the platform reliable in production: scaling, backups, secrets management, monitoring and alerting Put security best practices in place: network isolation, encryption, least-privilege access and SSO integration Containerize and deploy Python-based AI agents and backend services, and troubleshoot them in collaboration with the development team Develop Python-based automation and internal tooling for infrastructure management and deployment workflows What we expect : 5+ years of experience in DevOps/Cloud Engineering, including ownership of production environments Strong hands-on experience with AWS and Terraform Experience with Kubernetes (preferably EKS), Docker and Helm Experience with CI/CD tools: GitHub Actions, GitLab CI or similar Strong Python skills: writing automation and tooling, and reading, debugging and supporting backend services Experience integrating applications with identity providers via SSO (OIDC/SAML), e.g., Okta or Microsoft Entra ID Understanding of AI agent architecture and its components (LLM APIs, vector databases, agent frameworks) from an infrastructure perspective Ability to work independently and communicate directly with client stakeholders Nice to have : Familiarity with AI platforms and tools: AWS Bedrock, LangChain/LangGraph, vector databases (e.g., ChromaDB), Langfuse Experience with FastAPI Experience in pharma, life sciences or other regulated industries AWS certifications We offer : Competitive compensation Remote or office work Flexible working hours Continuous education, mentoring, and professional development programs A team with excellent tech expertise

Talablar: • Python + FastAPI — ishonchli darajada, 2 yildan ortiq tijoriy (amaliy) tajriba; • MySQL / PostgreSQL — sxemalarni loyihalash, indekslar, sekin so‘rovlarni (slow query) o‘qiy olish va tahlil qilish; • Linux va tarmoqlar — asosiy darajada: SSH, Nginx, loglar, ularning ishlash prinsipini tushunish; • Git — jamoaviy ishlash, tarmoqlar (branches), kod tekshiruvi (code review). Ish turi: To'liq ish kunida, offline 5/2.

Location: Paris; Italy; Belfast; Oran; Tunis; Bali; Cairo; San Marino; Algiers; Mauritius; Norway; Albania; Portugal; Kazakhstan; Serbia; Montenegro; Brunei; vietnam; Rabat; Oman; Hong Kong; Hungary; Slovenia; Casablanca; Poland; Taiwan; Latvia; Philippines; Ireland; Austria; Abidjan; China; Bulgaria; Thailand; Finland; Congo; Peru; Greece; Leeds; Ethiopia; Armenia; Iceland; Jakarta; Denmark; Malta; Moldova; Kuala Lumpur; Liverpool; London; Belgium; Lithuania; Brighton; Cameroon; Madagascar; Luxembourg; Cyprus; Turkey; Georgia; Slovakia; Mongolia; Germany; Birmingham; Egypt; Constantine; South Korea; Switzerland; Romania; Kuwait; Estonia; Anaba; Netherlands; Kosovo; Jordan; Manchester; Andorra; South Africa; Japan; Spain; Qatar; Benin; Croatia; Ukraine; singapoor; Azerbaijan Workplace: Remote ABOUT US Base360.ai http://Base360.ai is the AI operating system for short-term rental businesses, helping property managers run their operations on autopilot. Born out of The Flex, a short-term rental operator that scaled to an eight-figure business using its own software, Base360.ai http://Base360.ai is now launching as a standalone platform for short-term rental operators worldwide. We bring reservations, guest communication, pricing, payments, cleaning, maintenance, and reporting into one platform—helping operators automate manual work, reduce costs, increase revenue, and scale their portfolios. We're looking for an ambitious Senior Full-Stack Product Engineer who wants to turn real customer problems into intuitive, reliable software. You'll work closely with founders, designers, and operators to identify what matters, build solutions, and improve them based on how people use them. If you enjoy owning the full journey from customer problem to shipped product—and you're excited by AI, automation, and short-term rentals—we want to meet you. WHAT YOU'LL BUILD As a Senior Full-Stack Product Engineer, you'll help shape and scale Base360.ai http://Base360.ai across the entire short-term rental lifecycle. You'll build customer-facing features, operational dashboards, automation engines, AI-powered workflows, and integrations that help property managers grow without increasing their workload at the same rate. Your work will connect what users see with the systems behind it—from a guest’s check-in experience to the workflows coordinating reservations, cleaning, payments, and owner reporting. YOUR MISSION UNDERSTAND CUSTOMER PROBLEMS Work directly with property managers and internal teams to understand their workflows, identify friction, and decide which problems are worth solving. BUILD PRODUCTS END-TO-END Take features from idea and prototype through frontend, backend, integrations, testing, and deployment. Own the complete experience and how it performs in production. CREATE INTUITIVE USER EXPERIENCES Work with designers to make complex short-term rental operations easy to manage. Build interfaces that help users complete tasks quickly and confidently. CREATE POWERFUL AUTOMATIONS Build event-driven workflows that eliminate repetitive work—from scheduling cleaning after a booking to sending check-in instructions and generating owner statements. DEVELOP AI-POWERED FEATURES Use LLMs and AI agents to automate guest communication, triage maintenance requests, support pricing decisions, and help operators manage their portfolios more efficiently. CONNECT THE ECOSYSTEM Build reliable APIs and integrations with platforms including Airbnb, Hostaway, Stripe, Twilio, OpenAI, Google, and other partners across the short-term rental ecosystem. SOLVE REAL OPERATIONAL PROBLEMS Build solutions for: - Real-time reservation and availability synchronization - Dynamic pricing intelligence - Smart lock access and key management - Automated guest communication across channels - Guest check-in and upsell journeys - Operational forecasting - Cleaning and maintenance automation - Owner reporting and financial workflows - AI-powered monitoring and alerts MEASURE AND IMPROVE Use customer feedback, product usage, and operational results to evaluate what you ship. Improve features based on adoption, time saved, fewer errors, and better user outcomes. BUILD FOR SCALE Make sound technical decisions that balance delivery speed, maintainability, security, and reliability as more operators and properties join the platform. TECH STACK We care more about capability than specific technologies, but our current stack includes: - Python - FastAPI - React - TypeScript - Supabase - PostgreSQL - AWS - Serverless architecture - OpenAI APIs - Twilio - Stripe - Docker - GitHub Actions YOU MIGHT BE A GREAT FIT IF YOU HAVE - Strong experience building and shipping production software - The ability to work across frontend and backend systems - Experience with React, TypeScript, Python, FastAPI, or similar technologies - Strong understanding of APIs, databases, integrations, and cloud architecture - A product mindset and curiosity about why users need a feature - Good judgment around usability, scope, and technical trade-offs - The ability to turn an ambiguous problem into a practical, working solution - Confidence working directly with customers, designers, and founders - The ability to work independently and own outcomes - Curiosity about AI, automation, and operational efficiency - A bias toward shipping, learning, and iterating Bonus points for experience with: - Short-term rentals, hospitality technology, or property management systems - Multi-tenant SaaS platforms - Marketplace businesses and booking channel integrations - AI agents and workflow automation - Product analytics and experimentation - Event-driven architectures - Supabase - AWS serverless infrastructure WHAT SUCCESS LOOKS LIKE Within your first 12 months: - You've shipped features that property managers actively use - Core short-term rental workflows are automated through products you've built - Customers spend less time on manual administration and repetitive tasks - Complex workflows become easier to understand and complete - Integrations move reservations, availability, payments, and operational data reliably - AI-powered features become part of customers’ everyday operations - Customer feedback and usage data consistently inform your product decisions - Your work helps operators grow their portfolios, improve guest experiences, and operate more profitably WHY JOIN US BUILD SOMETHING MEANINGFUL Solve problems experienced daily by short-term rental operators, with direct access to The Flex’s operations to test ideas and see their impact. OWN THE PRODUCT OUTCOME Help decide what to build, how it should work, and how to measure its success. Take responsibility for features from the first conversation through ongoing improvement. SMALL TEAM, MASSIVE OPPORTUNITY Work closely with the founders and directly influence the product and technical direction of Base360.ai http://Base360.ai. LEARN FASTER Solve real-world challenges across product, software, AI, automation, hospitality operations, and scale. PERFORMANCE-BASED REWARDS Competitive compensation with substantial upside for exceptional performers. REMOTE-FIRST Work from anywhere. We care about outcomes, not hours. THIS ROLE IS NOT FOR YOU IF - You're looking for a slow-paced corporate environment - You want a narrowly defined role with limited customer or product involvement - You need detailed specifications before you can make progress - You avoid ownership and accountability - You consider a feature finished without checking whether it solves the user’s problem We're looking for someone who wants to help build the AI operating system for the short-term rental industry. #LI-Remote

Location: Paris; Italy; Belfast; Oran; Tunis; Bali; Cairo; San Marino; Algiers; Mauritius; Norway; Albania; Portugal; Kazakhstan; Serbia; Montenegro; Brunei; vietnam; Rabat; Oman; Hong Kong; Hungary; Slovenia; Casablanca; Poland; Taiwan; Latvia; Philippines; Ireland; Austria; Abidjan; China; Bulgaria; Thailand; Finland; Congo; Peru; Greece; Leeds; Ethiopia; Armenia; Iceland; Jakarta; Denmark; Malta; Moldova; Kuala Lumpur; Liverpool; London; Belgium; Lithuania; Brighton; Cameroon; Madagascar; Luxembourg; Cyprus; Turkey; Georgia; Slovakia; Mongolia; Germany; Birmingham; Egypt; Constantine; South Korea; Switzerland; Romania; Kuwait; Estonia; Anaba; Netherlands; Kosovo; Jordan; Manchester; Andorra; South Africa; Japan; Spain; Qatar; Benin; Croatia; Ukraine; singapoor; Azerbaijan Workplace: Remote ABOUT US Base360.ai http://Base360.ai is the AI operating system for short-term rental businesses, helping property managers run their operations on autopilot. Born out of The Flex, a short-term rental operator that scaled to an eight-figure business using its own software, Base360.ai http://Base360.ai is now launching as a standalone platform for short-term rental operators worldwide. We bring reservations, guest communication, pricing, payments, cleaning, maintenance, and reporting into one platform—helping operators automate manual work, reduce costs, increase revenue, and scale their portfolios. We're looking for an ambitious Product Engineer who wants to turn real customer problems into intuitive, reliable software. You'll work closely with founders, designers, and operators to identify what matters, build solutions, and improve them based on how people use them. If you enjoy owning the full journey from customer problem to shipped product—and you're excited by AI, automation, and short-term rentals—we want to meet you. WHAT YOU'LL BUILD As a Product Engineer, you'll help shape and scale Base360.ai http://Base360.ai across the entire short-term rental lifecycle. You'll build customer-facing features, operational dashboards, automation engines, AI-powered workflows, and integrations that help property managers grow without increasing their workload at the same rate. Your work will connect what users see with the systems behind it—from a guest’s check-in experience to the workflows coordinating reservations, cleaning, payments, and owner reporting. YOUR MISSION UNDERSTAND CUSTOMER PROBLEMS Work directly with property managers and internal teams to understand their workflows, identify friction, and decide which problems are worth solving. BUILD PRODUCTS END-TO-END Take features from idea and prototype through frontend, backend, integrations, testing, and deployment. Own the complete experience and how it performs in production. CREATE INTUITIVE USER EXPERIENCES Work with designers to make complex short-term rental operations easy to manage. Build interfaces that help users complete tasks quickly and confidently. CREATE POWERFUL AUTOMATIONS Build event-driven workflows that eliminate repetitive work—from scheduling cleaning after a booking to sending check-in instructions and generating owner statements. DEVELOP AI-POWERED FEATURES Use LLMs and AI agents to automate guest communication, triage maintenance requests, support pricing decisions, and help operators manage their portfolios more efficiently. CONNECT THE ECOSYSTEM Build reliable APIs and integrations with platforms including Airbnb, Hostaway, Stripe, Twilio, OpenAI, Google, and other partners across the short-term rental ecosystem. SOLVE REAL OPERATIONAL PROBLEMS Build solutions for: - Real-time reservation and availability synchronization - Dynamic pricing intelligence - Smart lock access and key management - Automated guest communication across channels - Guest check-in and upsell journeys - Operational forecasting - Cleaning and maintenance automation - Owner reporting and financial workflows - AI-powered monitoring and alerts MEASURE AND IMPROVE Use customer feedback, product usage, and operational results to evaluate what you ship. Improve features based on adoption, time saved, fewer errors, and better user outcomes. BUILD FOR SCALE Make sound technical decisions that balance delivery speed, maintainability, security, and reliability as more operators and properties join the platform. TECH STACK We care more about capability than specific technologies, but our current stack includes: - Python - FastAPI - React - TypeScript - Supabase - PostgreSQL - AWS - Serverless architecture - OpenAI APIs - Twilio - Stripe - Docker - GitHub Actions YOU MIGHT BE A GREAT FIT IF YOU HAVE - Strong experience building and shipping production software - The ability to work across frontend and backend systems - Experience with React, TypeScript, Python, FastAPI, or similar technologies - Strong understanding of APIs, databases, integrations, and cloud architecture - A product mindset and curiosity about why users need a feature - Good judgment around usability, scope, and technical trade-offs - The ability to turn an ambiguous problem into a practical, working solution - Confidence working directly with customers, designers, and founders - The ability to work independently and own outcomes - Curiosity about AI, automation, and operational efficiency - A bias toward shipping, learning, and iterating Bonus points for experience with: - Short-term rentals, hospitality technology, or property management systems - Multi-tenant SaaS platforms - Marketplace businesses and booking channel integrations - AI agents and workflow automation - Product analytics and experimentation - Event-driven architectures - Supabase - AWS serverless infrastructure WHAT SUCCESS LOOKS LIKE Within your first 12 months: - You've shipped features that property managers actively use - Core short-term rental workflows are automated through products you've built - Customers spend less time on manual administration and repetitive tasks - Complex workflows become easier to understand and complete - Integrations move reservations, availability, payments, and operational data reliably - AI-powered features become part of customers’ everyday operations - Customer feedback and usage data consistently inform your product decisions - Your work helps operators grow their portfolios, improve guest experiences, and operate more profitably WHY JOIN US BUILD SOMETHING MEANINGFUL Solve problems experienced daily by short-term rental operators, with direct access to The Flex’s operations to test ideas and see their impact. OWN THE PRODUCT OUTCOME Help decide what to build, how it should work, and how to measure its success. Take responsibility for features from the first conversation through ongoing improvement. SMALL TEAM, MASSIVE OPPORTUNITY Work closely with the founders and directly influence the product and technical direction of Base360.ai http://Base360.ai. LEARN FASTER Solve real-world challenges across product, software, AI, automation, hospitality operations, and scale. PERFORMANCE-BASED REWARDS Competitive compensation with substantial upside for exceptional performers. REMOTE-FIRST Work from anywhere. We care about outcomes, not hours. THIS ROLE IS NOT FOR YOU IF - You're looking for a slow-paced corporate environment - You want a narrowly defined role with limited customer or product involvement - You need detailed specifications before you can make progress - You avoid ownership and accountability - You consider a feature finished without checking whether it solves the user’s problem We're looking for someone who wants to help build the AI operating system for the short-term rental industry. #LI-Remote

Location: Paris; Italy; Belfast; Oran; Tunis; Bali; Cairo; San Marino; Algiers; Mauritius; Norway; Albania; Portugal; Kazakhstan; Serbia; Montenegro; Brunei; vietnam; Rabat; Oman; Hong Kong; Hungary; Slovenia; Casablanca; Poland; Taiwan; Latvia; Philippines; Ireland; Austria; Abidjan; China; Bulgaria; Thailand; Finland; Congo; Peru; Greece; Leeds; Ethiopia; Armenia; Iceland; Jakarta; Denmark; Malta; Moldova; Kuala Lumpur; Liverpool; London; Belgium; Lithuania; Brighton; Cameroon; Madagascar; Luxembourg; Cyprus; Turkey; Georgia; Slovakia; Mongolia; Germany; Birmingham; Egypt; Constantine; South Korea; Switzerland; Romania; Kuwait; Estonia; Anaba; Netherlands; Kosovo; Jordan; Manchester; Andorra; South Africa; Japan; Spain; Qatar; Benin; Croatia; Ukraine; singapoor; Azerbaijan Workplace: Remote ABOUT US Base360.ai http://Base360.ai is the AI operating system for short-term rental businesses, helping property managers run their operations on autopilot. Born out of The Flex, a short-term rental operator that scaled to an eight-figure business using its own software, Base360.ai http://Base360.ai is now launching as a standalone platform for short-term rental operators worldwide. We bring reservations, guest communication, pricing, payments, cleaning, maintenance, and reporting into one platform—helping operators automate manual work, reduce costs, increase revenue, and scale their portfolios. We're looking for a highly ambitious Senior Software Engineer who wants to build systems that solve real problems at scale. You'll build, ship, automate, and deliver products that directly impact property managers, their teams, and their guests. If you're excited by APIs, automation, AI agents, cloud infrastructure, and building products from the ground up, we want to meet you. WHAT YOU'LL BUILD As a Senior Software Engineer, you'll help architect and scale Base360.ai http://Base360.ai—the platform powering every aspect of a short-term rental business. You'll build customer-facing products, automation engines, AI-powered workflows, integrations, and operational systems that help property managers grow without increasing their workload at the same rate. Your work will span the entire short-term rental lifecycle: from listing distribution, pricing, and bookings to guest stays, property operations, and financial reporting. YOUR MISSION BUILD THE CORE PLATFORM Design and develop scalable applications, services, and APIs that power reservations, availability, pricing, payments, guest experiences, and property operations. CREATE POWERFUL AUTOMATIONS Build event-driven workflows that eliminate repetitive work—from scheduling cleaning after a booking to sending check-in instructions and generating owner statements. DEVELOP AI-POWERED SYSTEMS Use LLMs and AI agents to automate guest communication, triage maintenance requests, support pricing decisions, and help operators manage their portfolios more efficiently. DESIGN API-FIRST ARCHITECTURE Create robust APIs that connect internal services, booking channels, third-party providers, and customer systems. INTEGRATE THE ECOSYSTEM Build and maintain integrations with platforms including Airbnb, Hostaway, Stripe, Twilio, OpenAI, Google, and other strategic partners across the short-term rental ecosystem. SCALE INFRASTRUCTURE Deploy and manage cloud-native infrastructure designed for reliability, performance, and global growth across multiple property management businesses. SOLVE COMPLEX OPERATIONAL PROBLEMS Build solutions for: - Real-time reservation and availability synchronization - Dynamic pricing intelligence - Smart lock access and key management - Automated guest communication across channels - Operational forecasting - Cleaning and maintenance automation - Owner reporting and financial workflows - AI-powered monitoring and alerts MOVE FAST AND OWN DELIVERY Own projects end-to-end—from understanding an operator’s problem to architecture, implementation, deployment, and ongoing improvement. Bring senior engineering judgment to technical decisions, code reviews, and the reliability of the systems you build. TECH STACK We care more about capability than specific technologies, but our current stack includes: - Python - FastAPI - React - TypeScript - Supabase - PostgreSQL - AWS - Serverless architecture - OpenAI APIs - Twilio - Stripe - Docker - GitHub Actions YOU MIGHT BE A GREAT FIT IF YOU HAVE - Strong experience building and owning production-grade software systems - Experience with FastAPI, Python, React, or similar frameworks - Strong understanding of APIs, distributed systems, and cloud architecture - Experience designing scalable backend systems and reliable data models - The ability to work independently and make sound technical decisions - Strong problem-solving skills and a product mindset - Curiosity about AI, automation, and operational efficiency - A bias toward action, shipping, and learning from real users - The ability to balance delivery speed with maintainability and reliability Bonus points for experience with: - Short-term rentals, hospitality technology, or property management systems - Multi-tenant SaaS platforms - Marketplace businesses and booking channel integrations - AI agents and workflow automation - Event-driven architectures - Supabase - AWS serverless infrastructure WHAT SUCCESS LOOKS LIKE Within your first 12 months: - Core short-term rental workflows are automated through systems you've built - Property managers spend less time on manual administration - Reservations, availability, payments, and operational data move reliably between systems - New integrations are deployed and maintained reliably - AI-powered workflows become part of customers’ everyday operations - The platform supports more operators and properties while maintaining reliability and performance - Base360.ai http://Base360.ai helps customers grow their portfolios, improve guest experiences, and operate more profitably WHY JOIN US BUILD SOMETHING MEANINGFUL Solve problems experienced daily by short-term rental operators, with direct access to The Flex’s operations to test ideas and see their impact. EXTREME OWNERSHIP Have the freedom and responsibility to make technical decisions and deliver systems that matter. SMALL TEAM, MASSIVE OPPORTUNITY Work closely with the founders and directly influence the product and technical direction of Base360.ai http://Base360.ai. LEARN FASTER Solve real-world challenges across software, AI, automation, hospitality operations, and scale. PERFORMANCE-BASED REWARDS Competitive compensation with substantial upside for exceptional performers. REMOTE-FIRST Work from anywhere. We care about outcomes, not hours. THIS ROLE IS NOT FOR YOU IF - You're looking for a slow-paced corporate environment - You prefer a narrowly defined role with limited product involvement - You need detailed instructions for every task - You avoid ownership and accountability - You're comfortable shipping work without taking responsibility for its quality We're looking for someone who wants to help build the AI operating system for the short-term rental industry. #LI-Remote

Задачи: — Сбор, обработка и анализ данных Яндекс.Метрики и внутренних систем. — Создание ETL-пайплайнов, витрин данных и регулярной отчётности. — Разработка парсеров и интеграций с внешними API. — Построение классических ML-моделей для целей аналитики. — Создание аналитических ИИ-агентов. — Контроль качества, полноты и актуальности данных. — Поддержка аналитических сервисов и автоматизированных отчётов. Требования: — Высшее образование (техническое, математическое). — Уверенное знание SQL и Python. — Практический опыт работы с ClickHouse. — Опыт работы с Яндекс.Метрикой, включая API и Logs API. — Опыт разработки ETL-пайплайнов. — Опыт написания веб-парсеров и интеграций с API. — Понимание аналитических метрик и принципов построения витрин данных. — Опыт создания ИИ-агентов или LLM-интеграций. Будет преимуществом: — Знание Airflow и других инструментов оркестрации. — Docker, PM2, FastAPI. — Redash, Superset, DataHub. — Selenium и автоматизация работы с веб-интерфейсами. — PostgreSQL, Redis, Qdrant. — RAG, MCP и работа с LLM API. — Опыт работы с большими объемами медиаданных. Условия: — График работы: 5/2, гибрид. — Оформление по трудовому договору. — Стабильность и прозрачность в отношении заработной платы. — Испытательный срок 3 месяца. — По окончании испытательного срока возможность подключения к программе добровольного медицинского страхования и другим опциям социальной политики. — Работа в бизнес-центре класса А с развитой инфраструктурой (офис в 5 минутах от м. «Маяковская», кафе и магазины, зоны отдыха внутри здания).

Задачи: — разработка прикладного ПО для контроллеров (Segnetics, Owen, Siemens, ICP DAS, Xinje, ODOT Automation, VEDA, INVT и др.) с учётом технологических ограничений; — создание интерфейсов для панелей HMI (в т.ч. Weintek), обеспечение визуализации, аварийных сообщений, журналов событий и прав доступа; — базовая настройка частотных преобразователей, интеграция в систему управления, реализация логики пуска/останова, защит и регулирования; — настройка связи по протоколам Modbus RTU/TCP, Ethernet, EtherCAT, PROFINET, BACnet и другим, отладка обмена между ПЛК, HMI, SCADA и смежными системами; — участие в пусконаладочных работах на объектах заказчика (около 70% рабочего времени), устранение замечаний, сдача системы в эксплуатацию; — разработка алгоритмов, тестирование в стендовых условиях, поиск и устранение ошибок, проверка логики блокировок и аварийных сценариев; — составление алгоритмов, пояснительных записок, эксплуатационных инструкций, таблиц сигналов и карт адресов для наладки и эксплуатации. Требования: — опыт от 1 года в автоматизации технологических процессов с реальными проектами и ПНР; — уверенное владение языками программирования стандарта МЭК 61131‑3: ST (Structured Text), FBD (Function Block Diagram), LD (Ladder Diagram), SFC (Sequential Function Chart); — понимание IL (Instruction List) как базового уровня; — практический опыт работы в средах SM Logix, CODESYS, TIA Portal, STEP 7, EcoStruxure и аналогичных; — умение читать и понимать электрические схемы, функциональные схемы, кабельные журналы, таблицы подключений; — опыт настройки и интеграции SCADA‑систем (Simple SCADA, WinCC, МастерSCADA, InTouch и др.); — профильное высшее образование (автоматизация, АСУ ТП, электроника, робототехника) или подтверждённый опыт, компенсирующий отсутствие диплома; — готовность к командировкам и работе на объектах. Условия: — официальное трудоустройство по ТК РФ; — прозрачная система оплаты: оклад + процент за выработку, зависящий от количества и качества закрытых проектов; — оплата всех командировочных расходов (проезд, проживание, суточные); — возможность профессионального роста: корпоративные курсы, сертификации, разбор типовых и нетиповых задач; — стабильная загрузка реальными проектами по автоматизации и диспетчеризации инженерных и технологических систем; — общее время на дорогу до места работы и обратно не более 2 часов. Дополнительно: — вакансия не подходит для специалистов по администрированию, тестированию, веб‑ и бэкенд‑разработке (Python, FastAPI, Django, REST API, Docker, CI/CD и т.п.); — требуется инженер‑программист в промышленной автоматизации, умеющий писать код для ПЛК, настраивать HMI и панели, интегрировать оборудование по промышленным протоколам и готовый выезжать на объекты для ПНР.

Задачи: — Развитие рекомендательной системы на сайте kommersant.ru. — Создание и поддержка RAG-систем и ИИ-агентов (база знаний, умный поиск). — Оценка качества моделей, рекомендаций и ответов LLM. — Мониторинг качества, скорости и стоимости ML/LLM-сервисов. — Проведение A/B-тестов и анализ результатов. Требования: — Высшее образование (техническое, математическое или IT-направление). — Опыт работы в Data Science от 3 лет. — Уверенное знание Python и SQL. — Знание классического ML, статистики и продуктовых метрик. — Опыт разработки рекомендательных систем, общее понимание видов архитектур. — Знание RAG и опыт проектирования RAG-архитектур. — Опыт работы с LLM, эмбеддингами и векторными базами данных. — Умение превращать прототипы в стабильные production-сервисы. Будет преимуществом: — Опыт работы с LightRAG, GraphRAG или другими графовыми RAG-подходами. — Знание Qdrant, ClickHouse, PostgreSQL, Redis. — FastAPI, Docker. — Опыт создания систем оценки LLM и работы с несколькими провайдерами моделей. — Опыт разработки ИИ-агентов и MCP-интеграций. — Опыт работы с медиаконтентом и рекомендательными системами для издателей. Условия: — График работы: 5/2, гибрид. — Оформление по трудовому договору. — Стабильность и прозрачность в отношении заработной платы. — Испытательный срок 3 месяца с возможностью подключения к программе добровольного медицинского страхования и другим опциям социальной политики. — Обеспечение необходимым техническим оборудованием (ноутбук). — Работа в бизнес-центре класса А с развитой инфраструктурой (офис в 5 минутах от м. «Маяковская», кафе и магазины, зоны отдыха внутри здания).

Задачи: — Писать код, следуя стандартам проекта и принятой архитектуре (изоляция слоёв). — Оценивать задачи в трекере. — Покрывать код тестами, проводить рефакторинг, поддерживать документацию. — Участвовать в code review, поддерживать code style и процесс деплоя. Требования: — Коммерческий опыт разработки на Python от 2х лет. — Уверенное владение современным Python: type hints, async/await для всего I/O. Технологический стек: Основные: FastAPI, asyncpg, NumPy, pyproj, uv, ruff, pyright, hypothesis, pytest. Будет плюсом: Docker + docker-compose, Helm / Kubernetes, GitLab CI, базовый опыт с Vue 3, математическая подготовка (линейная алгебра, тригонометрия, теория вероятностей, статистика), алгоритмы на графах, работа с 3D-пространством, цифровая обработка сигналов, data fusion, английский (чтение и ведение технической документации). Условия: — Официальное трудоустройство по ТК РФ. — Современные инструменты и качественное оборудование. — Профессиональное обучение и развитие. — Конкурентная зарплата по итогам собеседования + бонусы и премии.

Задачи: — Проектировать и разрабатывать RESTful API с использованием FastAPI — Проектировать, оптимизировать и поддерживать схемы и запросы PostgreSQL — Писать unit и интеграционные тесты для обеспечения надежности и покрытия кода — Создавать и поддерживать CI/CD пайплайны для автоматического тестирования и деплоя — Контейнеризировать и оркестрировать сервисы с помощью Docker и Kubernetes — Реализовывать аутентификацию, авторизацию и практики безопасного кодирования (валидация ввода, управление секретами, рекомендации OWASP) — Интегрировать AI возможности в backend системы с использованием MCP — Оптимизировать производительность приложений и эффективность запросов к базе данных — Разворачивать и мониторить сервисы в облачной инфраструктуре — Сотрудничать с frontend и продуктовыми командами для интеграции backend возможностей — Поддерживать версионированные и хорошо документированные кодовые базы Требования: — Опыт backend разработки от 3 лет (middle и выше) — Уверенное владение Python и FastAPI — Опыт работы с PostgreSQL: проектирование схем, индексация, оптимизация запросов, миграции — Опыт написания unit тестов (pytest или аналог) и следование TDD — Опыт создания и поддержки CI/CD пайплайнов (GitHub Actions, GitLab CI или аналог) — Опыт работы с Docker и Kubernetes для контейнеризации и деплоя — Понимание принципов и лучших практик REST API — Знания основ безопасности приложений: аутентификация/авторизация, шифрование данных, сканирование уязвимостей, безопасный дизайн API — Владение Git и практики совместной разработки — Владение языками: узбекский C1, английский B2 и выше Будет плюсом: — Опыт работы с MCP для интеграции AI инструментов/агентов в backend — Async Python (asyncio, SQLAlchemy async или аналог) — Очереди сообщений: RabbitMQ, Kafka или Redis — Облачные платформы: AWS, GCP или Azure — SQLAlchemy ORM и Alembic миграции — Кэширование: Redis, Memcached

Задачи: — Разработка и развитие backend-сервисов и API; — Разработка решений для RAG, векторного поиска и обработки данных; — Построение фоновых процессов и пайплайнов обработки документов; — Участие в проектировании архитектуры, проведении код-ревью и формировании инженерных стандартов; — Обеспечение стабильности, производительности и качества сервисов. Требования: — Опыт backend-разработки на Python от 5 лет; — Уверенные знания asyncio, FastAPI и PostgreSQL; — Опыт работы с Kubernetes и микросервисной архитектурой; — Практический опыт внедрения LLM/RAG-решений в production; — Знание современных подходов к observability, безопасности и DevOps-практик; — Понимание принципов построения надёжных и высоконагруженных систем. Условия: — Работа над интересными и технологичными продуктами; — Возможность влиять на архитектуру и технические решения; — Современный стек и использование актуальных инструментов разработки;