Вакансии

- Разработка AI-системы, которая понимает контент и интересы пользователей. - Создание персонализированных рекомендаций, ведущих к покупке.

Location: Москва Мы делаем ML-продукт аналитики деятельности компаний, которые работают с зарубежными партнерами: он прогнозирует их валютные операции и предлагает подходящие продукты банка. Ищем инженера-исследователя, который проведет задачу от гипотезы до прототипа и передаст лучшее решение в разработку. Обязанности * разбираться в задаче вместе с владельцем продукта и аналитиками: что нужно клиенту и какие ограничения у данных * быстро проверять гипотезы на данных, а не на интуиции: от постановки эксперимента до прототипа и демо для заказчика * выбирать подход под задачу: классический ML, временные ряды, LLM, RAG, агенты или их связку. Сравнивать варианты по качеству, устойчивости, стоимости, скорости и сложности вывода в продакшен * проектировать агентов поверх ML-моделей: какие у них инструменты и память, как они собирают контекст и проверяют ответы * передавать лучшее решение в разработку так, чтобы его легко было тиражировать. Требования * опыт внедрения ML-решения с нуля до продакшена * python (pandas, numpy) и SQL, продвинутые навыки построения воспроизводимых пайплайнов * глубокие знания классического ML на табличных данных: бустинг, линейные модели, sklearn, отбор признаков. Навыки работы с PyTorch или аналогом и понимаете, когда DL дает выигрыш * рабата с LLM: промпты, RAG с эмбеддингами и reranking, tool calling, агенты.Знаете типичные сбои вроде галлюцинаций и умеете их ограничивать. оцениваете ответы и агентов целиком через golden set и LLM-as-a-judge, следите за регрессиями качества, latency и стоимостью вызова * умение строить A/B-тесты и офлайн-сравнения: гипотеза, выборки, бейзлайн, абляции, вывод «берем / не берем». Ведете эксперименты в MLflow или аналоге, версионируете данные и промпты * понимаете, когда хватает классического ML, когда нужна LLM * умеете коротко объяснить, что проверили, почему выбрали этот подход и какие риски остались. **Будет плюсом:** * опыт в ВЭД: платежи, валютные потоки, внешнеторговые операции, продукты * сами строили AI-агентов и агентные системы. Условия * комфортный современный офис г. Москва, Кутузовский 32 * офисный формат работы * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * система обучения для профессионального и карьерного развития * расширенный полис ДМС с первого дня работы и страхование для семьи * программа ипотеки для сотрудников * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Adyen is looking for a Senior Platform Engineer Container Services to build and operate container infrastructure, automate platform operations, and improve reliability at scale.

Plaid is looking for a Machine Learning Engineer to build, deploy, and monitor credit machine learning systems.

Location: Riverside, United States Partner One is a long-term investment group specializing in the acquisition and growth of successful software companies. With over 30 years in business, we own and operate some of the fastest-growing enterprise software companies globally. More than 2,000 of the world’s largest corporations and governments rely on our software for their most critical operations and to safeguard their most valuable data. We are looking for a Network Infrastructure Engineer to join our team based at our Riverside Data Centre, California – this DC hosts infrastructure and equipment supporting multiple companies across our portfolio.  This is a hands-on, technical role, ideal for someone looking to build their experience across IT support, hardware, networking, and data centre operations. You’ll work alongside our existing Data Centre Engineer and wider IT teams, helping with day-to-day requests and providing on-site support when physical access to equipment is required. We’re not looking for someone who knows everything already; our goal is to identify someone practical, reliable and keen to learn, who is comfortable working with IT hardware and following technical instructions Responsibilities: Install, rack and cable servers, switches and other network equipment Assist with basic installation and decommissioning of Data Centre hardware Provide ‘Smart Hands’ support for our wider IT teams and portfolio companies Carry out tasks such as power cycling equipment, checking connections, reseating cables and replacing basic components Supporting our existing Data Centre Engineer when additional resource is needed Troubleshoot basic network connectivity issues, including checking cabling, ports, connections and device status Escalate more complex infrastructure or networking issues to the appropriate engineer or technical team Assist with laptop and end-user device management Receive returned equipment and ensure assets are correctly recorded and stored; wipe and securely prepare laptops and other devices for re-use or disposal; configure and prepare devices to be shipped to new or existing users Assist with IT asset and inventory management, including tracking equipment entering and leaving the Data Centre Follow documented processes and maintain accurate records of work completed, and assist with other hands-on IT and Data Centre tasks as required Requirements Minimum of 3 years of experience in on-premises IT environments. Understanding and experience with computer hardware and networking Confidence working with laptops, desktops and other IT equipment A basic understanding of network concepts such as IP addresses, switches, network ports and Ethernet connectivity An interest in learning more about servers, networking and Data Centre infrastructure The ability to follow technical instructions and documented processes carefully Good organization, attention to detail and problem-solving skills A willingness to ask questions and escalate when something is outside your knowledge or experience. Good communication skills and a helpful, service-focused attitude with the ability to work collaboratively with engineers and IT teams who may be based remotely Preferred Requirements Experience in any of the following would be useful, but is not essential: Data Center experience/exposure. Working in an IT Help Desk, Service Desk or desktop support environment Installing or replacing computer hardware Basic network troubleshooting Server or network rack installation and cabling Laptop imaging, configuration or device management IT asset management Microsoft Windows and Microsoft 365 Working with a ticketing system such as Jira CompTIA A+, Network+ or similar entry-level IT certifications Benefits This role offers an opportunity to gain hands-on experience across a broad range of technologies and environments. You’ll work with infrastructure supporting multiple companies, giving you exposure to Data Centre operations, networking, servers, end-user computing and IT support. For someone at the beginning of their IT career, it’s a great opportunity to develop practical skills while working alongside more experienced engineers and gradually taking on greater technical responsibility. Compensation The estimated compensation range for this role is $40,000 - $60,000/ year Gross USD. Actual compensation will be based on local market benchmarks and relevant experience. This recruitment process may use automated or artificial intelligence to screen or assess applicants This job posting is for an existing vacancy.

Проектирование, создание и обслуживание масштабируемых конвейеров данных для получения, интеграции и управления данными из различных источников и систем генерации данных (например, лабораторные системы, MES, производство клинических препаратов, системы качества, внешние партнеры).

настраивать процессы, которые регулярно извлекают информацию из разных источников (АПИ, документы, CRM).

Location: Al Jubail, Saudi Arabia Eram Talent is hiring on behalf of its leading Petrochemical client for a Senior Project Controls Engineer to support major refinery and petrochemical projects. The client is seeking an experienced project controls professional with a strong background in project planning, scheduling, cost control, forecasting, and performance reporting within EPCM and construction environments. The successful candidate will be responsible for developing, monitoring, analyzing, and reporting project performance across scope, cost, schedule, risk, quality, and safety, while ensuring effective project controls systems, accurate forecasting, critical-path management, and alignment with approved project baselines. The role will also involve coordinating and overseeing contractors' project controls activities, providing guidance to project teams, and delivering reliable performance reports to project management and clients. Key Responsibilities Provide guidance, direction, and specialized support for resolving complex project control issues. Calculate, analyze, report, and recommend actions on project data, including schedule, cost, budget, risk, quality, and safety. Develop project cash-flow forecasts. Integrate scope, cost, and schedule within the Work Breakdown Structure and maintain accurate mapping. Analyze, evaluate, and forecast current project status against the approved baseline schedule. Assess the effects of design or construction changes and schedule slippages. Report schedule status to project management, Sadara management, and the client, as applicable. Apply engineering, procurement, and construction terminology, concepts, and relationships. Develop and maintain critical-path logic networks and bar charts. Customize project control systems to meet specific project requirements. Accumulate and maintain historical performance data to support realistic future planning and forecasting. Guide and oversee EPCM & Construction contractors to effectively sett up their project controls & reporting structure. Pro-actively verify & ensure accurate reporting from other project contractors. Supervise and support lower-level project controls engineers or support personnel, when assigned. Perform other responsibilities associated with the position, as required. Requirements Bachelor's degree in Engineering or Business Management. Minimum 5 years of experience in refinery or petrochemical plant project activities. Strong practical experience working in a multinational environment. Excellent oral and written communication skills. Ability to analyze and present reports clearly and in an organized manner. Proficiency in Microsoft Office and project controls software, including Primavera P6.

Location: Montreal, Canada You Are passionate about technology, wake up every morning to experiment, learn and develop new solutions! You Will Work on latest edge Cloud computing to solve difficult, manual and repeatable tasks for users adopting Cloud technologies like AWS, Salesforce, Microsoft and more Use the latest trends on building SaaS applications using multitenancy, scalability large data volumes / Big Data and more Develop and expand our portfolio to support most popular Cloud apps (200+) Develop understanding of not just software development, but also how to design, develop and launch a product from concept to high customer use. About Us At DBSync we provide opportunity to use technology that creates innovative and next generation data integration products which helps our employees to cultivate their creativity and sense of belonging. DBSync is a leading provider for data integration and Data warehousing services for both cloud/SAAS-based-on-demand applications. We were incubated by Salesforce.com (as a part of Avankia), before getting spunned off as a separate company. DBSync provides data integration as a SAAS-based, Standalone or hosted integration at a competitive price with a plethora of benefits for business users. Our main motto is to provide a strong foundation for businesses in solving complex problems and automating their workflows while acting as a pillar of support for all their data integrations needs. At DBSync we encourage innovation and creativity and our team is diverse comprising of a nice mix of cultural blends. We are a family where each talent is recognised and honed for the best of the individual and the company as a whole. We maintain a very professional, learn and excel vision with a hint of a start-up-like environment making each individual feel important and responsible with an equal opportunity to grow to the sky’s limit! If you have a spirit of enthusiasm to grow beyond horizons, a determination to work hard, confidence to achieve success and influence future visions and products and be a successful part of the next gen trend, DBSync is the place for you! Our Value System We genuinely care We do not waste time on manual or mundane task We have a fun environment We own it We are experts on what we do We win together DBSync has been: We have been rated 4.7 / 5 on G2. We have got around 125 reviews in 2023. Based on the reviews G2 has awarded DBSync following badges. - Best Relationship- Winter 2024 - Leader Americas Winter 2024 - Best Results - Winter 2024 - Best Usability - Winter 2024 About the Role We are looking for a candidate who will be responsible for working directly with development, support, implementation, and other internal teams as well as external vendors and clients. The Head of Engineering will be responsible for overseeing and managing all aspects of the engineering department within the organization. This role requires strong leadership skills, technical expertise, and a strategic mindset to drive innovation and ensure the successful delivery of engineering projects. You will work directly with the CEO/CTO and will act as both a technology and business expert, making decisions that will impact the current and future operations of the company. Roles and Responsibilities: Manage multiple engineering projects and ensure successful delivery of products on time and within budget Lead a team of engineers and provide guidance on technical issues Collaborate with other teams such as product, design, and customer support to ensure smooth product development and delivery Ensure coding standards, best practices, and security protocols are followed by the team Hire, train, and mentor engineers and support staff Evaluate and recommend new technologies and methodologies to improve the engineering process Build and maintain strong relationships with vendors and partners to ensure projects are completed successfully Must have successfully delivered at least two projects end-to-end. Oversight of the full software development lifecycle required for a group of developers and testers in an agile environment. Leading staff to implement clients in the most efficient, time driven manner. The manager is responsible for the total quality of the technical deliverables in their domain, making sure that they are secure, defect-free. Mentoring technical staff during projects to ensure continuous improvement. Includes working with each resource to define and act upon career paths and obtain appropriate training. Is responsible for the hiring, training, staff development, performance appraisals, corrective action and pay review of technical personnel. Developing and establishing department standards and procedures. Recommends the most efficient ways to ensure best implementation practices of new upgraded products. Evaluates and reports progress and results. Skills and Qualifications Required: Must have hands-on experience in Java, Front end technologies like Bootstrap, jQuery, AWS, Modular software development, multi-tenant architecture and highly scalable systems. Proficient with cloud technologies (AWS, Azure, Google Cloud). Must have a minimum of 8-10 years of experience demonstrating required skills and competencies in engineering BSc/BA in Computer Science, Engineering or a related field; MS/MBA or other relevant graduate degree is a plus. Must have hands on Full stack architecture experience Have in-depth conceptual functional and non-functional knowledge of Docker Containers, Kubernetes Cluster management and orchestration, microservice architectures, DevOps practices and tooling. Previous leadership or management experience required Strong communication skills are a requirement, as this position must build consensus with numerous internal and external resources and effectively influence the technical direction of projects in order to be successful. Ability to determine the best implementation approach/methodology for assigned project(s) based on established guidelines and best practices and determine appropriate strategy for ensuring desired objectives. Must be very flexible with learning new technology quickly. Location: Montreal (Remote) Shift Timings: U.S. Shift (8:00 AM CST - 5:00 PM CST) For more information about DBSync, visit www.mydbsync.com. Video: https://www.youtube.com/playlist?list=PLJzycdoERLoekPWNkXEsuih807TQAEnnB

- Build evaluation frameworks for AI agents, including datasets, sandbox environments and metrics for real-world tasks. - Hands-on experience building, evaluating or improving LLM models or agents (professional, research, open-source or personal projects).

разработка и автоматизация пайплайнов репликации данных с Qlik Replicate (CDC, стриминг в Kafka/Redshift); настройка источников (SQL, NoSQL) и целей (data warehouse, облако);

Job description: Design and evolve the Kubernetes platform behind 10M+ peak RPS production traffic and petabyte-scale data processing, own reliability, observability and security, and automate infrastructure and GitOps workflows in Go/Python.

Location: Germany; Portugal; Poland; Serbia; Spain; Ireland We are seeking a proactive Site Reliability Engineer (SRE) to keep a secure SaaS platform fast, reliable, and continuously improving. You will support a hybrid technology stack spanning Windows-based applications (.NET, IIS, SQL Server) and cloud-native infrastructure (AWS, containers, Kubernetes, and Terraform). This is a hands-on role for someone who takes ownership of production reliability, enjoys investigating complex failures, and independently identifies opportunities to improve systems. Prior Windows or SQL Server experience is not required if you bring strong infrastructure and relational database fundamentals and can learn unfamiliar technologies independently. Responsibilities Own availability, reliability, and performance of core backend infrastructure across Windows and Linux environments. Improve observability using Kibana, CloudWatch, centralized logging, and custom telemetry; identify monitoring gaps before incidents occur. Build, maintain, and improve CI/CD pipelines and infrastructure as code using Terraform and Ansible. Learn and operate production Windows environments, including .NET Framework/.NET Core applications hosted on IIS. Learn and support SQL Server, including AlwaysOn and Service Broker, alongside PostgreSQL and Aurora. Operate cloud-native services and workloads across AWS Lambda, DynamoDB, Redshift, OpenStack, and containers. Participate in an on-call rotation, troubleshoot incidents, and contribute to effective postmortems and preventive actions. Partner with engineering teams to improve deployment safety, system resilience, and operational processes. Proactively identify problems, automate repetitive work, and drive improvements without waiting for direction. Requirements 5+ years of hands-on SRE, DevOps, or WebOps experience supporting production SaaS systems. Strong practical experience with Terraform and Ansible for infrastructure management. AWS operations experience, including Lambda, DynamoDB, CloudWatch, and IAM. Strong relational database fundamentals (PostgreSQL, MySQL, or similar), including query tuning, replication, backups, recovery, and high availability. Experience operating and debugging containerized and distributed systems in production. Strong Linux systems administration skills. Ability to script and automate with Python, Bash, or PowerShell (PowerShell can be learned on the job). Experience building and maintaining CI/CD pipelines. Familiarity with Redis, Kibana, Elasticsearch, and centralized logging. Excellent incident response, troubleshooting, and communication skills. Demonstrated ownership, curiosity, self-directed learning, and a record of proactively improving systems. Availability to work US business hours and participate in an on-call rotation. Preferred Experience with Windows Server, IIS, and .NET applications. SQL Server experience, particularly AlwaysOn and Service Broker. Personal technology projects, home labs, open-source contributions, or tools built independently. Willingness to build deep familiarity with the Windows and SQL Server stack through independent learning and hands-on practice during the first six months. Benefits Salary: $5,000 to $6,000 USD per month PTO: Unlimited Setup: Fully Remote

Задачи: — Разрабатывать электрические схемы и проектировать печатные платы (PCB). — Подбирать электронные компоненты, микроконтроллеры, датчики и модули связи. — Создавать 3D-модели корпусов, креплений и механических деталей в CAD-системах. — Подготавливать конструкции к 3D-печати и производству. — Собирать, паять, тестировать и отлаживать электронные устройства. — Проводить испытания прототипов, выявлять неисправности и устранять их. — Совместно с разработчиками прошивок и программного обеспечения интегрировать аппаратные решения. — Улучшать существующие устройства и участвовать в разработке новых продуктов. Требования: — Знание основ электроники и умение читать электрические схемы. — Опыт проектирования PCB в Altium Designer, KiCad или аналогичных программах. — Навыки 3D-моделирования в SolidWorks, Fusion 360, КОМПАС-3D или других CAD-системах. — Умение работать с паяльным оборудованием и мультиметром. — Понимание принципов работы микроконтроллеров и датчиков. — Способность самостоятельно разбираться в технических проблемах и находить решения. — Внимательность к деталям, инициативность и готовность осваивать новые технологии. Дополнительным преимуществом будет: — Опыт работы с ESP32, STM32 и другими микроконтроллерами. — Знание C/C++ и основ embedded-разработки. — Опыт работы с осциллографом и другим измерительным оборудованием. — Практический опыт 3D-печати и подготовки изделий к производству. — Знакомство с IoT, LoRa, беспроводными системами связи. — Опыт разработки собственных устройств или участия в инженерных проектах. — Знание технического английского языка. Условия: Мы работаем над технологиями, в которых электроника, программное обеспечение и спутниковая связь объединяются в единую систему. Вы сможете: — Участвовать в полном цикле разработки устройств - от концепции до рабочего прототипа и внедрения. — Работать над реальными проектами в области SpaceTech и промышленного IoT. — Применять свои знания на практике и осваивать новые инженерные направления. — Взаимодействовать с командой инженеров и разработчиков SpaceLab. — Участвовать в испытаниях оборудования и подготовке устройств к производству. — Получить опыт работы над проектами для казахстанских и международных заказчиков. — Предлагать собственные инженерные решения и участвовать в развитии продуктов компании. Нам интересны специалисты, которым нравится экспериментировать, самостоятельно искать решения и совершенствовать свои разработки. Мы ценим техническую любознательность, ответственность и готовность доводить начатое до результата.

Location: Indonesia; Nigeria; Turkey; United States 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 looking for experienced Application Security Engineers and Security-Focused Software Engineers to support a specialized AI security evaluation project. In this role, you will assess how effectively static analysis tools identify security vulnerabilities in Generative AI applications, particularly LLM agents and Retrieval-Augmented Generation (RAG) systems. You will build small, runnable repositories containing realistic examples of Sensitive Information Disclosure (SID) and Excessive Agency (EA) vulnerabilities, alongside fixed and near-miss versions. You will analyze code paths, identify security weaknesses, define authorization contexts, develop deterministic tests, and document findings. Your work will help improve the reliability of security tools and strengthen how AI systems are evaluated for application-level vulnerabilities. LOCATION: Remote EXPERIENCE: 5+ years in application/product security or security-focused software engineering PROJECT: GenAI application security evaluation and AI training TECHNICAL FOCUS: Python, TypeScript, SAST, CodeQL, Semgrep, LLM agents, RAG, and MCP AI EXPERIENCE: Hands-on experience building LLM agents or RAG applications is required. Key Responsibilities Build runnable agent and RAG repositories containing code-reachable Sensitive Information Disclosure and Excessive Agency vulnerabilities. Develop realistic security scenarios involving tool calling, agent memory, Model Context Protocol (MCP), and other LLM application components. Create vulnerable, fixed, and hard-negative code variants with minimal security-relevant differences. Evaluate static application security testing (SAST) tools and assess their ability to detect genuine vulnerabilities while avoiding false positives. Perform source-to-sink analysis and trace relevant data flows, action paths, and trust boundaries. Annotate security findings, including affected assets, root causes, controls, severity, and residual risk. Define authorization contexts covering actors, tenants, identities, permitted data, actions, purposes, and recipients. Develop deterministic tests to validate vulnerable, fixed, and negative security behaviors. Recommend appropriate security controls and remediation approaches. Participate in technical calibration, peer reviews, and quality assurance activities. Requirements 5+ years of professional experience in application security, product security, or security-focused software engineering. Strong experience conducting secure code reviews and identifying application-level vulnerabilities. Practical knowledge of source-to-sink analysis, taint analysis, and static application security testing (SAST). Hands-on experience with security analysis tools such as CodeQL or Semgrep. Experience building or securing LLM agents and/or Retrieval-Augmented Generation (RAG) applications. Familiarity with frameworks and technologies such as LangChain, LlamaIndex, OpenAI or Anthropic SDKs, and Model Context Protocol (MCP). Strong understanding of authorization models, including: Actors, identities, and trust boundaries. Multi-tenant authorization and access control. OAuth, IAM, and identity management. Permitted data access and actions. Purpose and recipient restrictions. Document-level access control. Production-level coding experience in Python and/or TypeScript. Ability to distinguish genuine Sensitive Information Disclosure and Excessive Agency vulnerabilities from non-findings and false positives. Strong analytical skills and the ability to communicate technical security findings clearly.

Location: Bangladesh; Brazil; Colombia; Egypt; Ghana; India 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 looking for experienced Application Security Engineers and Security-Focused Software Engineers to support a specialized AI security evaluation project. In this role, you will assess how effectively static analysis tools identify security vulnerabilities in Generative AI applications, particularly LLM agents and Retrieval-Augmented Generation (RAG) systems. You will build small, runnable repositories containing realistic examples of Sensitive Information Disclosure (SID) and Excessive Agency (EA) vulnerabilities, alongside fixed and near-miss versions. You will analyze code paths, identify security weaknesses, define authorization contexts, develop deterministic tests, and document findings. Your work will help improve the reliability of security tools and strengthen how AI systems are evaluated for application-level vulnerabilities. LOCATION: Remote EXPERIENCE: 5+ years in application/product security or security-focused software engineering PROJECT: GenAI application security evaluation and AI training TECHNICAL FOCUS: Python, TypeScript, SAST, CodeQL, Semgrep, LLM agents, RAG, and MCP AI EXPERIENCE: Hands-on experience building LLM agents or RAG applications is required. Key Responsibilities Build runnable agent and RAG repositories containing code-reachable Sensitive Information Disclosure and Excessive Agency vulnerabilities. Develop realistic security scenarios involving tool calling, agent memory, Model Context Protocol (MCP), and other LLM application components. Create vulnerable, fixed, and hard-negative code variants with minimal security-relevant differences. Evaluate static application security testing (SAST) tools and assess their ability to detect genuine vulnerabilities while avoiding false positives. Perform source-to-sink analysis and trace relevant data flows, action paths, and trust boundaries. Annotate security findings, including affected assets, root causes, controls, severity, and residual risk. Define authorization contexts covering actors, tenants, identities, permitted data, actions, purposes, and recipients. Develop deterministic tests to validate vulnerable, fixed, and negative security behaviors. Recommend appropriate security controls and remediation approaches. Participate in technical calibration, peer reviews, and quality assurance activities. Requirements 5+ years of professional experience in application security, product security, or security-focused software engineering. Strong experience conducting secure code reviews and identifying application-level vulnerabilities. Practical knowledge of source-to-sink analysis, taint analysis, and static application security testing (SAST). Hands-on experience with security analysis tools such as CodeQL or Semgrep. Experience building or securing LLM agents and/or Retrieval-Augmented Generation (RAG) applications. Familiarity with frameworks and technologies such as LangChain, LlamaIndex, OpenAI or Anthropic SDKs, and Model Context Protocol (MCP). Strong understanding of authorization models, including: Actors, identities, and trust boundaries. Multi-tenant authorization and access control. OAuth, IAM, and identity management. Permitted data access and actions. Purpose and recipient restrictions. Document-level access control. Production-level coding experience in Python and/or TypeScript. Ability to distinguish genuine Sensitive Information Disclosure and Excessive Agency vulnerabilities from non-findings and false positives. Strong analytical skills and the ability to communicate technical security findings clearly.

Мы ищем Junior Data Engineer, который готов погрузиться в существующую инфраструктуру аналитики: разбираться в коде, оптимизировать пайплайны, исправлять баги и добавлять новые процессы.

Что вы будете делать: Вы будете главным инженером и наставником ML-команды: разбирать предлагаемые подходы, находить слабые места и выбирать направления и гипотезы, в которые стоит вкладывать время и ресурсы.