Вакансии

Location: United States; Canada; Mexico; Costa Rica; Panama; Guatemala About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Location: Brazil; Argentina; Colombia; Chile; Peru; Uruguay About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Location: United Kingdom; Germany; Poland; South Africa; United Arab Emirates; Egypt About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Разработка и сопровождение сайтов компании на «1С-Битрикс: Управление сайтом». Доработка функционала: собственные компоненты и модули на D7, шаблоны, инфоблоки и Highload-блоки, обработчики событий, агенты.

Location: Riyadh, Saudi Arabia; Cairo, Egypt; Dubai, United Arab Emirates; New Delhi, India Job Summary We are seeking a highly skilled IBM Watson AIOps / IBM Netcool Operations Insight (NOI) Consultant/Developer with hands-on experience in designing, customizing, and implementing enterprise event management and AIOps solutions. The ideal candidate will be responsible for developing customized solutions based on customer requirements, implementing automation, and creating Netcool Impact policies to support advanced event correlation and scenario-based event processing. The successful candidate should possess strong technical expertise in IBM Watson AIOps, Netcool Operations Insight, Netcool Impact, OMNIbus, event integration, and automation, along with excellent problem-solving and customer engagement skills. Key Responsibilities Design, develop, and implement IBM Watson AIOps and IBM Netcool Operations Insight (NOI) solutions. Analyze customer requirements and translate them into scalable technical solutions. Customize IBM Watson AIOps and NOI components to meet customer-specific operational requirements. Develop and maintain Netcool Impact policies for: Event enrichment Event correlation Event suppression Event automation Scenario-based event processing Business logic implementation Create policy-driven workflows to reduce alert noise and improve operational efficiency. Integrate IBM NOI with monitoring tools and third-party systems using REST APIs, JDBC, SNMP, Webhooks, Kafka, or other supported interfaces. Configure and customize IBM Netcool OMNIbus ObjectServer and probes. Develop automation workflows using IBM Watson AIOps Event Manager. Perform event mapping, event normalization, and event enrichment. Implement topology-aware event correlation where applicable. Develop dashboards, reports, and operational views. Troubleshoot and resolve issues related to IBM Watson AIOps and NOI components. Optimize system performance and improve event processing efficiency. Prepare technical documentation, solution designs, implementation guides, and operational runbooks. Provide technical support during implementation, testing, and production rollout. Work closely with customers, architects, and support teams throughout the project lifecycle. Requirements Required Technical Skills IBM Technologies IBM Watson AIOps IBM Netcool Operations Insight (NOI) IBM Netcool Impact IBM Netcool OMNIbus IBM Event Manager IBM Agile Service Manager (ASM) IBM Cloud Pak for AIOps (preferred) Development Skills Netcool Impact Policy Development JavaScript (Impact Policies) SQL REST APIs XML / JSON Shell Scripting (Linux) Python (preferred) Integration Skills SNMP Web Services REST API Integration JDBC Kafka Webhooks Message Queues Infrastructure Knowledge Linux Administration Red Hat OpenShift Docker / Kubernetes Networking Fundamentals TCP/IP SSL Certificates Required Experience 5+ years of experience with IBM Netcool products. 3+ years of experience with IBM Watson AIOps or IBM Cloud Pak for AIOps. Proven experience developing Netcool Impact policies. Experience implementing event correlation and event automation solutions. Experience integrating enterprise monitoring platforms into IBM NOI. Strong troubleshooting and debugging skills. Experience working in production support environments. Experience with customer-facing solution implementation projects. Preferred Qualifications IBM Watson AIOps Certification. IBM Netcool Certification. Experience with OpenShift and Kubernetes. Experience integrating ServiceNow, Maximo, or enterprise ITSM platforms. Knowledge of DevOps, CI/CD, and automation tools. Familiarity with AI-driven event analytics and anomaly detection. Soft Skills Excellent analytical and problem-solving skills. Strong verbal and written communication. Ability to work independently and as part of a team. Customer-focused approach with strong stakeholder management skills. Ability to manage multiple priorities in a fast-paced environment. Education Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline. Equivalent industry experience will also be considered. Preferred Candidate Profile The ideal candidate should have deep expertise in IBM Watson AIOps and Netcool technologies, with a proven ability to develop customized solutions and Netcool Impact policies that automate event management, reduce operational noise, and address complex customer requirements. Experience in designing scenario-based event correlation and automation workflows within enterprise environments is highly desirable.

Location: Riyadh, Saudi Arabia; Dubai, United Arab Emirates; Cairo, Egypt; New Delhi, India Job Summary We are seeking an experienced IBM Cognos Analytics Developer to design, develop, and maintain enterprise reports, dashboards, and analytics solutions using IBM Cognos Analytics. The ideal candidate will have strong expertise in developing complex reports and interactive dashboards based on customer requirements, working with data models and cubes, and integrating Cognos content with IBM Maximo Application Suite (MAS) and 3D Dashboard solutions. The successful candidate will be responsible for delivering high-quality business intelligence solutions that enable data-driven decision-making through advanced reporting, analytics, and visualization. Key Responsibilities Gather and analyze business requirements from customers and translate them into reporting and analytics solutions. Design, develop, and maintain complex operational, analytical, and executive reports using IBM Cognos Analytics. Develop interactive dashboards, KPI scorecards, and self-service analytics to meet customer requirements. Design and implement drill-down, drill-through, and parameterized reports. Develop and maintain multidimensional data models, Framework Manager models, and data modules. Design, build, and optimize OLAP cubes and data cubes for high-performance analytics and reporting. Develop advanced calculations, metrics, prompts, filters, and custom expressions. Integrate IBM Cognos Analytics with IBM Maximo Application Suite (MAS), enterprise databases, and third-party applications. Support the development and integration of Cognos reports and dashboards with IBM Maximo 3D Dashboard capabilities and visualization solutions. Optimize report performance and troubleshoot complex reporting issues. Ensure data accuracy, consistency, and governance across reporting solutions. Develop reusable reporting templates and dashboard components. Collaborate with business users, solution architects, and technical teams throughout the project lifecycle. Prepare technical documentation, user guides, and knowledge transfer materials. Provide production support, enhancements, and performance tuning for Cognos environments. Requirements Required Technical Skills IBM Technologies IBM Cognos Analytics IBM Cognos Report Studio / Reporting IBM Cognos Dashboard IBM Framework Manager IBM Cognos Data Modules IBM Cognos Event Studio (preferred) IBM Cognos Administration Reporting & Analytics Complex Report Development Executive Dashboards KPI Dashboards Drill-through Reports Scheduled Reports Bursting Reports Data Visualization Analytical Reporting Data & Database Skills SQL (Advanced) Data Modeling OLAP Cubes Data Cubes Star Schema and Snowflake Schema ETL concepts Performance Tuning Database Experience IBM Db2 Oracle Microsoft SQL Server PostgreSQL Other enterprise relational databases Integration Skills REST APIs JDBC/ODBC IBM Maximo Application Suite (MAS) TNCP Performance Dashbaord. 3D Dashboard Integration Enterprise data integration concepts Required Experience 5+ years of hands-on experience with IBM Cognos Analytics. Proven experience developing complex reports and dashboards for enterprise customers. Strong experience with Framework Manager and metadata modeling. Experience designing and maintaining OLAP/data cubes for analytical reporting. Experience integrating Cognos with enterprise applications, including IBM Maximo Application Suite. Strong SQL development and query optimization skills. Experience with performance tuning of reports and dashboards. Ability to translate business requirements into scalable reporting solutions. Preferred Qualifications IBM Cognos Analytics Certification. Experience with IBM Maximo Application Suite (MAS). Experience developing dashboards for IBM Maximo Monitor or IBM Maximo Visual Inspection. Knowledge of data warehousing and business intelligence best practices. Experience with OpenShift and cloud-based deployments. Familiarity with Python or scripting for automation is an advantage. Soft Skills Strong analytical and problem-solving skills. Excellent communication and presentation skills. Ability to interact directly with customers and gather reporting requirements. Strong documentation and solution design capabilities. Ability to work independently and collaboratively in cross-functional teams. Customer-focused mindset with the ability to deliver high-quality analytics solutions within project timelines. Education Bachelor's degree in Computer Science, Information Technology, Engineering, Data Analytics, or a related field. Equivalent professional experience will also be considered. Preferred Candidate Profile The ideal candidate should have extensive experience in IBM Cognos Analytics, with the ability to develop sophisticated reports, dashboards, and analytical solutions tailored to customer requirements. The candidate should be proficient in building and optimizing data models and cubes, integrating Cognos with IBM Maximo Application Suite and 3D Dashboard environments, and delivering scalable, high-performance business intelligence solutions that support operational and executive decision-making.

Location: Athens, Greece We are seeking a Semantics/Knowledge Graph Engineer to support a complex platform built around RDF data models, SPARQL queries, and structured datasets. You will be responsible for understanding, maintaining, and evolving the semantic layer of the system, working closely with backend engineers and architects. This role suits a specialist who enjoys data modelling, semantics, and knowledge representation in real-world production systems. What You'll Do: Analyse and maintain RDF/TTL data models and vocabularies; Develop, optimise, and maintain SPARQL queries; Support data ingestion, transformation, and validation workflows; Ensure consistency and correctness of semantic data across the platform; Collaborate with backend engineers to integrate semantic logic into application flows; Assist in documenting semantic models, assumptions, and constraints; Participate in troubleshooting data quality and reasoning issues. Requirements 3+ years of experience working with semantic or data-centric systems; Strong knowledge of: RDF, RDFS, OWL SPARQL Experience with: Knowledge graphs or semantic interoperability platforms; Data modelling and ontology design; Comfortable working with structured data formats: TTL, XML, JSON, CSV Ability to analyse existing models and understand implicit domain logic. Nice-to-Have: Experience with triplestores or graph databases; Familiarity with EU data standards or interoperability frameworks; Python scripting for data processing and/or Apache Airflow; Experience in projects with regulatory or standards-driven constraints. Benefits We believe in rewarding talent and dedication. Here's what you can expect as part of our team: Competitive full-time salary; Private Health Coverage on the Company’s group program; Flexible Working Hours; Top-of-the-Line Tools; Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities; Career Growth: Work with some of the most innovative and exciting specialists in the industry; Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth. If you want an exciting challenge, work with some of the coolest technologies, and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: ( S/KGE/10/26 ). You may also consider all our other open vacancies by visiting the career section of our website ( www.eurodyn.com ) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS (ED) ( www.eurodyn.com ) is a leading European Software, Information, and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1200 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion. EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published at www.eurodyn.com/privacy . By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line with the Policy.

Location: Athens, Greece We are seeking a Semantic / Data Engineer to support a complex platform built around RDF data models, SPARQL queries, and structured datasets. You will be responsible for understanding, maintaining, and evolving the semantic layer of the system, working closely with backend engineers and architects. This role suits a specialist who enjoys data modelling, semantics, and knowledge representation in real-world production systems. What You'll Do: Analyse and maintain RDF/TTL data models and vocabularies; Develop, optimise, and maintain SPARQL queries; Support data ingestion, transformation, and validation workflows; Ensure consistency and correctness of semantic data across the platform; Collaborate with backend engineers to integrate semantic logic into application flows; Assist in documenting semantic models, assumptions, and constraints; Participate in troubleshooting data quality and reasoning issues. Requirements 3+ years of experience working with semantic or data-centric systems; Strong knowledge of: RDF, RDFS, OWL SPARQL Experience with: Knowledge graphs or semantic interoperability platforms; Data modelling and ontology design; Comfortable working with structured data formats: TTL, XML, JSON, CSV Ability to analyse existing models and understand implicit domain logic. Nice-to-Have: Experience with triplestores or graph databases; Familiarity with EU data standards or interoperability frameworks; Python scripting for data processing and/or Apache Airflow; Experience in projects with regulatory or standards-driven constraints. Benefits We believe in rewarding talent and dedication. Here's what you can expect as part of our team: Competitive full-time salary; Private Health Coverage on the Company’s group program; Flexible Working Hours; Top-of-the-Line Tools; Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities; Career Growth: Work with some of the most innovative and exciting specialists in the industry; Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth. If you want an exciting challenge, work with some of the coolest technologies, and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: ( SDE/10/26 ). You may also consider all our other open vacancies by visiting the career section of our website ( www.eurodyn.com ) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS (ED) ( www.eurodyn.com ) is a leading European Software, Information, and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1200 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion. EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published at www.eurodyn.com/privacy . By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line with the Policy.

Проектировать, развивать и поддерживать инфраструктуру для продуктовой разработки и эксплуатации сервисов. Обеспечивать стабильность, отказоустойчивость и производительность инфраструктуры.

What you will do Write high-quality, performant backend code primarily in Go. Implement new microservices and responsibly manage migration away from legacy services.

-Разрабатывать агентов на LangGraph: tool calling, многошаговые сценарии, human-in-the-loop, обработка ошибок. -Строить RAG по внутренним документам: разбор PDF/DOCX, сканов и таблиц, индексация, гибридный поиск (BM25 + dense), реранкинг.

Задачи: — Выявление производственных проблем и точек роста на основе данных; — Участие в обследовании производственных участков, выезды в цеха, изучение технологических процессов на месте; — Формализация производственных задач в цифровые кейсы: прогнозирование, классификация, детекция отклонений, контроль качества, оптимизация режимов; — Сбор, выгрузка, очистка и консолидация данных из производственных и корпоративных информационных систем; — Анализ данных технологических процессов, поиск закономерностей, факторов влияния и причин отклонений; — Разработка, обучение и валидация ML-моделей для прогнозирования, оптимизации и поддержки принятия решений; — Разработка и внедрение CV-решений; — Подготовка датасетов, разметка данных, организация процессов сбора и актуализации обучающих выборок; — Проверка гипотез, проведение пилотных проектов и оценка экономического эффекта; — Визуализация результатов анализа, подготовка отчетов и рекомендаций для производственных подразделений; — Взаимодействие с внутренними заказчиками, подрядчиками, интеграторами и смежными командами. Требования: — Практический опыт разработки и внедрения решений на базе ML; — Практический опыт разработки и внедрения решений на базе Computer Vision; — Опыт работы с производственными данными, временными рядами, журналами событий, технологическими параметрами; — Опыт полного цикла работы с данными: сбор, выгрузка, очистка, анализ, построение признаков, обучение моделей, внедрение; — Опыт проведения обследований производственных процессов и интервью с внутренними заказчиками; — Понимание специфики промышленного предприятия и готовность работать “в поле”; — Желателен опыт работы в металлургии, горнодобывающей промышленности, тяжелой промышленности, химическом производстве или энергетике; — Понимание технологических процессов агломерационного, коксового или доменного производства будет преимуществом; — Уверенное владение Python и библиотеками для ML/CV; — Знание методов регрессии, классификации, кластеризации, поиска аномалий, анализа временных рядов, оптимизации, глубокого обучения; — Опыт построения CV-моделей; — Опыт работы с SQL и промышленными базами данных (MES, ERP, SCADA, historians, лабораторные системы, систем АСУ ТП); — Понимание принципов интеграции моделей в промышленный ИТ-ландшафт; — Опыт работы с Docker, Git, MLOps-инфраструктурой; — Применение LLM в разработке решений; — Понимание производственных показателей: качество сырья и продукции, производительность, простои, расход топлива и энергоресурсов, стабильность технологических режимов, надежность оборудования; — Понимание причинно-следственных связей в производственном процессе и умение переводить экспертные знания технологов в аналитические модели; — Навык оценки экономического эффекта от цифровых инициатив: снижение потерь, снижение брака, снижение простоев, рост производительности, снижение расхода ресурсов. Условия: — ДМС, включая стоматологию; — Страхование жизни и страховка для путешественников; — Корпоративная мобильная связь; — Система скидок для сотрудников НЛМК ИТ; — Частичная компенсация питания в корпоративных столовых; — Возможность обучения за счет работодателя; — Активная корпоративная жизнь; — Поддержка от компании в жизненно важных событиях; — Бесплатный доступ к электронной библиотеке.

• Оценка целей бизнес задач, бизнес метрик, алгоритмов и методов машинного обучения, имеющихся и необходимых данных.

• Анализировать поведение игроков и находить точки роста для продукта. • Определять, какие данные, метрики и разрезы нужны для оценки продукта, и выстраивать систему продуктовой аналитики в компании.

Location: Remote PlanetScale is growing rapidly and reinventing the database space. The PlanetScale platform delivers a fully managed, multi-cloud Postgres service designed for the most demanding production workloads. We handle the complexity of provisioning, scaling, replication, and failover - so engineering teams can focus on building their products. Our customers entrust us with their most precious digital asset, their data, so the stakes couldn't be higher. We're looking for a Software Engineer to join our Postgres engineering team and help us build a world-class managed Postgres offering. What's the job to be done? You will design and build the control plane that provisions, scales, and heals Postgres clusters with minimal customer-visible downtime. You will build and maintain high availability, disaster recovery, and data protection solutions that keep customer databases safe through infrastructure failures. You will tune Postgres to operate at scale for some of the largest and most demanding workloads in the world. You will build tooling and automation for database operations, backup, restore, and migration workflows - and participate in an on-call rotation. You will work directly with customers to understand their workloads and translate real-world needs into platform improvements. These attributes best describe you… You have strong experience building, operating, or maintaining large-scale Postgres deployments in production. You have an excellent understanding of low-level operating systems concepts including multi-threading, memory management, networking, storage, and performance. You have strong fundamental computer science skills and can reason about distributed, fault-tolerant systems. You thrive in a collaborative environment, enjoy mentoring other engineers, and communicate complex technical tradeoffs clearly. You are self-motivated and can work independently with minimal guidance while making sound technical decisions. What you will need 5+ years of software engineering experience designing, building, and supporting large-scale systems in production. Strong proficiency in Go, with experience in other languages like Ruby, Python, Zig or Rust. Experience building and maintaining distributed, fault-tolerant services. Working knowledge of Kubernetes and containerized applications. Experience building and operating distributed systems at scale. What else will help you be successful Experience building or operating a database-as-a-service or managed database platform. Experience with connection pooling and proxy layers for Postgres. Experience with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code. Contributions to open-source projects, especially in the Postgres or database infrastructure space. Experience working with remote, geographically distributed teams. Previous experience at a high-growth technology company. Why PlanetScale We're redefining how high-growth companies manage data at scale—and we work with some of the most exciting brands in gaming, consumer tech, and B2B SaaS. As a Software Engineer, you'll be at the core of building the platform that powers world-class apps used by hundreds of millions of users worldwide. PlanetScale is a profitable company with a philosophy centered around building small teams of p99 individuals and is recognized as one of the fastest growing companies in America. At PlanetScale we believe in supporting people to do their best work and thrive no matter the location. Our mission is to build a diverse, equitable, and inclusive company. We strive to build an inclusive environment where all people feel that they are equally respected and valued, whether they are a candidate or an employee. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, pregnancy status, and veteran status. If you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate! Total Compensation and Pay Transparency An employee's total compensation consists of base salary + variable comp where appropriate + benefits + equity. A member of our Talent Acquisition team will be happy to answer any further questions when we engage with you to begin the interview process. Base salary range: $120,000 - $290,000 USD

Responsibilities: Analyze information to determine, recommend, and provide innovative solutions to complex business problems related to existing system. Owner and subject matter expert for Large Software Systems and business initiatives.

Обязательные требования: — Знание архитектур нейросетей (Transformer, CNN, RNN, GAN, Diffusion); — Владение методами обучения моделей с нуля и дообучения (fine‑tune) существующих решений; — Опыт работы с фреймворками PyTorch, TensorFlow, JAX; — Навыки написания кода для инференса и развёртывания моделей в продакшн‑среде; — Понимание принципов оптимизации: градиентный спуск, функции потерь, регуляризация; — Комплекс компетенций ML‑инженера с фокусом на самостоятельную реализацию алгоритмов; — Уверенное владение языками программирования Python и C++; — Способность реализовать с нуля отдельные компоненты модели: например, механизм внимания или отдельный слой; — Глубокое понимание внутренней логики работы моделей (не ограничиваясь использованием готовых методов вроде model.predict()). Задачи на проекте: — Внедрение обученных моделей в закрытый контур экосистемы компании (на частных серверах) с обеспечением их автономной работы и защитой от внешних воздействий; — Адаптация и оптимизация AI‑алгоритмов для эксплуатации на защищённых мобильных устройствах с учётом ограниченного объёма вычислительных ресурсов и необходимости минимизировать энергопотребление; — Размещение обученных моделей в закрытом контуре экосистемы компании (на частных серверах), поддержание их автономной работы и реализация мер защиты от внешних воздействий.

Задачи: — работа с live стратегиями на рынке perpetual derivatives. Требования: — опыт работы квант-трейдером на другом DEX или CEX. Условия: — зарплата $120-200k в год + performance bonus. Стек технологий: — Python — Rust — C++