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Location: Islamabad, Pakistan Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Help us challenge injustice by creating fair choices for millions of people across in 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary starting from 59 200 EUR gross Final benefits may vary depending on the location.

Location: Abu Dhabi, United Arab Emirates Workplace: hybrid About the role We are preparing the data foundation for our autonomous-driving work, and we are hiring the engineer who will start it. Today we collect street-level imagery and GPS tracks from vehicle cameras, including our own camera units with NVIDIA edge devices on board, and use them to update maps. Next comes a dedicated survey vehicle with a full sensor set: multi-camera, IMU, LiDAR. You will start with the imagery and map data pipelines we run today, and as the sensor platform arrives, you will build the pipelines that turn its data into training datasets for autonomous-driving models. Key Responsibilities Build the pipelines that move multi-sensor data (multi-camera video, IMU, LiDAR, GPS) from vehicles into cloud storage, synchronize and geo-reference the streams Own the storage layout and lifecycle for sensor data: partitioning, hot and archival tiers, cost control as volume grows Build validation and monitoring on the ingest path: incomplete uploads, missing or unsynchronized streams, vehicles that stopped producing usable data Prepare training datasets for autonomous-driving models: select data by location, route, and conditions, version datasets, and deliver them in the formats ML teams need Until then: take over and develop the current imagery and GPS-track pipelines from vehicle cameras, and contribute to geodata pipelines (ingestion from company data, OpenStreetMap, Overture Maps and vendors, conflation, validation, publication) Work with company data in BigQuery and keep spatial queries fast on large PostGIS and GeoParquet tables Skills, Knowledge & Expertise 4+ years in data engineering Experience with multi-sensor data from vehicles or robots: cameras, IMU or LiDAR, and keeping the streams in sync Experience preparing training datasets for computer vision or autonomous-driving models. Large volumes of binary or media data in object storage (S3 or GCS); distributed processing (Spark or equivalent) Hands-on experience with spatial data: PostGIS, GeoPandas/Shapely, coordinate reference systems, GPS tracks Strong Python and SQL; AWS or GCP, Docker, Kubernetes Nice to have Sensor data formats such as ROS2 bag, MCAP or point clouds Parquet, Delta or Iceberg; Databricks Argo Workflows or Airflow OpenStreetMap and Overture Map QGIS BigQuery Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Final benefits may vary depending on the location.

Location: Tbilisi, Georgia Workplace: hybrid We are looking for a Senior Data Project Manager to join inDrive's Data Platform. You will work in close partnership with the Engineering Managers of two core teams, Data Ops and Data Delivery, and coordinate projects that span multiple data platform teams: for example, onboarding data from external partners and orchestrating its downstream transformation into analytics-ready data marts. Key Responsibilities Coordinate cross-functional Data Platform (DWH) initiatives end-to-end, from source-system integration through the warehouse to analytical data marts Act as the single point of accountability for initiative outcomes, ensuring value delivery within expected timeframes Drive projects that cut across several teams, e.g. partner data ingestion followed by transformation and modeling, aligning scope, sequencing, and ownership between Data Ops, Data Delivery, and adjacent teams Work in tandem with the Engineering Managers of Data Ops and Data Delivery on planning, capacity, and execution; participate in the operational management of the teams Own project and initiative schedules: identify risks, dependencies, and potential slippage early, and communicate them promptly to all stakeholders Manage priorities across product-driven requests from internal data consumers and long-term platform investments (reliability, data quality, governance, security) Build a process for continuous improvement of team metrics: delivery performance, quality, engagement, and team maturity Facilitate project- and program-level events (planning, syncs, retros, stakeholder reviews) Translate between business and technical teams, keeping internal consumers, engineering, and leadership aligned Skills, Knowledge and Expertise 3+ years of project or program management experience in Data Platform, Data Warehousing (DWH), or Analytics environments Demonstrated success managing complex initiatives with multiple stakeholders, teams, and moving parts Solid command of modern goal-setting and project management tools Exceptional communication and stakeholder alignment skills: able to translate between business and technical audiences Highly organized, with strong prioritization, risk management, and accountability-driving skills Strong systems thinker; brings clarity and structure to ambiguity Nice to have Hands-on experience in Data Platform / Data Warehouse ecosystems: understanding of data pipelines, ODS-to-data-mart layering, streaming and batch delivery, data governance Experience in high-growth consumer tech Familiarity with modern data stack tooling (dbt, Airflow, Kafka, BigQuery or similar cloud DWH) Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Annual salary from 70 100 EUR gross Final benefits may vary depending on the location.

Location: Cairo, Egypt Workplace: hybrid We are looking for a Senior Data Engineer to join one of the Data Platform teams that works with the Marketing, Growth, partner, and financial data domains. You will be working with cutting edge cloud technologies (GCP, AWS, BigQuery, Databricks, K8s) and building a large scale data infrastructure for analytics, machine learning, and streaming/CDC data delivery. Key Responsibilities Build and operate batch and streaming ingestion into a layered BigQuery DWH (raw → ODS → data marts) using Airflow, Debezium CDC over Kafka with protobuf, Pub/Sub, and Dataflow Integrate external data sources end-to-end — marketing platforms (GA4, AppsFlyer, TikTok/Meta/Google Ads), payment providers, S3 buckets, and third-party APIs — including schema contracts, backfills, and reconciliation Engineer the data platform itself in Python: custom Airflow operators and connectors in a shared ETL framework, Kafka Connect on Strimzi (K8s), Cloud Functions, and API integrations with external providers Build CI/CD and change-management tooling for BigQuery: GitHub-based test-and-approval flows, SQL migration engines (Liquibase/Flyway/Bytebase), sandbox validation, backup and rollback Own reliability and correctness of pipelines: idempotency, deduplication, late-data handling, backfill and replay, freshness monitoring and alerting; write integration and unit tests Drive data governance and compliance: ITGC-compliant change management for BigQuery, IAM and least-privilege access, PII policy tags and DLP, Unity Catalog on Databricks, column-level lineage (OpenMetadata/Dataplex), and disaster-recovery planning Build internal data tools and platform services for agentic workflows with data — Streamlit apps, Slack bots, LLM-based agents and MCP servers that help teams find and use data Support analysts and business teams with data requests, fostering data-driven decision-making across the company Contribute to system design and architecture with the development team Skills, Knowledge and Expertise Strong practical Python: clean, well-structured, and tested code for services, tooling, and data pipelines Solid software design skills (OOP, modularity, design patterns) — we build platform tools for agentic workflows with data and plan to develop data-related backend services, so well-designed code is highly valued Experience building and operating services in a cloud environment (GCP, AWS or similar): CI/CD, containerization, monitoring and alerting Familiarity with Kubernetes and Terraform — our infrastructure runs on GCP/K8s Hands-on experience with DWH-related tasks (BigQuery or another cloud warehouse) and confident working SQL Clear communication with non-engineering stakeholders — a meaningful share of the work is data requests from analysts and business teams Demonstrated ability to take ownership of technologies or services and proactively contribute ideas to the team Nice to have Advanced SQL: complex queries, window functions, partitioning, clustering, and cost optimization Experience building reliable pipelines around CDC (e.g., Debezium): idempotency, schema evolution, backfills, and reconciliation Analytical data modeling skills: table grain, facts vs dimensions, slowly changing dimensions, and metric definitions Experience with stream processing frameworks such as Flink or Apache Beam/Dataflow Exposure to data governance and audit compliance (ITGC/SOX), Databricks Unity Catalog, or lineage/catalog tooling (OpenMetadata, Dataplex) Interest in building LLM-based agents and AI tooling for data Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

🧩 Требования: глубокие знания SQL и умение работать с планами запросов, опыт эксплуатации ClickHouse, Kafka и Kubernetes, владение Java, практический опыт создания DWH и Data Lake, опыт построения и развития высоконагруженных систем;

Ключевые требования: опыт с ClickHouse; Spark (стриминг, батч);

Location: Lisbon, Portugal Joom is a global cross-border marketplace where millions can find anything they want at fair prices. Joom helps consumers to make shopping easy and entertaining and provides access to interesting and unique goods from around the world. Joom is one of the key businesses of Joom Group, an international group of tech-centric group of e-commerce companies founded in 2016 in Latvia. Joom also includes other businesses: JoomPro, the first and only end-to-end cross-border B2B marketplace; JoomPulse, an AI analytics tool for Mercado Livre sellers; and Onfy, a pharmaceutical marketplace in Germany. Joom Group has offices in Latvia, China, Germany, and Brazil, with its headquarters in Lisbon, Portugal. We work as one international team, sharing knowledge and collaborating across countries, businesses and products. We are looking for Lead/Senior ML developers to join our teams: Search team (Lead): will work on improving the core search algorithms, enhancing the system's understanding of user queries and the relevance of products shown in response to searches; developing new functionality to improve the user experience Order Experience team (Senior): developing AI/ML support: specifically, answering user questions using the full context of their orders, profile, transactions, and actions within the service, along with automating refunds Tech stack: Go, Python, Scala, Spark, modern LLMs, PyTorch, Docker, Kubernetes, Airflow, MongoDB, Cassandra, Kafka, Jenkins Requirements Strong algorithmic skills: knowledge of fundamental algorithms and data structures, as well as their implementation in standard libraries Proficiency in any language: experience in developing and debugging distributed, high-load applications, and writing testable code Industry experience in Machine Learning: familiarity with key modeling and training approaches (linear models, GBDT, DNN, etc.), knowledge of statistics, and end-to-end ML development experience, including raw data analysis, hypothesis formulation, model creation, experimentation, and deploying results into production Preferred Experience in developing recommendation or search systems Experience training neural network models Experience working with various data sources: Spark, Cassandra, Mongo, Kafka Knowledge of Go We offer Compensation package: base salary and performance-based bonuses Office-first: flexible hours with a possibility to work remotely 52 days per year Care & Wellbeing: health insurance (including dental care) for employees and their children, daily meal allowance, and 100% paid sick leave Relocation Support: full assistance for a smooth relocation for the employees and their family AI-first approach: licenses and access to a wide range of AI tools Team & Growth: collaboration with colleagues across Portugal, Brazil, Latvia and China, with opportunities for promotions, professional trainings, and English & Portuguese courses Community & Engagement: annual team building activities, knowledge-sharing workshops, and a strong sense of team work Before applying for the above position please review our Candidate Privacy Notice here . By responding to the vacancy, you acknowledge that you have read our Privacy notice.

Привет, мы ищем продуктового аналитика уровня сеньор в команду на стыке Activation и Growth заниматься ресерчами и аб-тестами (их много, но большинство автоматизированы, а то что еще не автоматизировано - надо автоматизировать). - АБ-тесты на хорошем уровне.

* Анализ бизнес-требований и постановка четких технических заданий инженерам данных на разработку и поддержку ETL-пайплайнов. * Валидация данных и приемка работы у инженеров данных, контроль качества.

Тебе предстоит Повысить эффективность пайплайнов для расчета с daily-признаков на основе batch процессинга. Создать эффективный пайплайн для расчёта realtime-признаков на основе Kafka‑топиков.

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building high-load products used by millions of people worldwide. Operating at the scale of one of the world's top-50 websites, we solve complex engineering challenges and create solutions that power real-time entertainment for a global audience. Job Responsibilities Generate actionable insights based on data to support product and business decisions; Design, run, and analyze A/B tests end-to-end - from hypothesis to implementation and reporting; Define and develop new business and product metrics to measure performance and identify opportunities; Continuously monitor key metrics and detect anomalies or trends that require attention; Conduct deep-dive analyses to identify problem areas and uncover growth opportunities; Write clean and efficient SQL and Python code to extract, transform, and analyze data; Collaborate on implementing new tracking events and properties to improve product analytics coverage; Work closely with CPO, Product Managers, Analysts, Product Designers, and Data Scientists to drive data-informed decisions. You’ll thrive here if you have 3+ years of experience in analytics; Strong understanding of A/B testing and solid knowledge of statistics; Excellent SQL skills - ability to write complex queries, automate reports, build dashboards and data visualizations; Proficient in Python for data analysis, visualization, and automation; Experience working with BI tools, especially Tableau (other tools like Power BI or Amplitude are also acceptable); Deep understanding of metrics and the ability to define them from scratch, grounded in product logic; Strong product thinking - ability to connect data insights with business goals; Qualifications that can be a plus: Experience analyzing paid and affiliate traffic, with a solid understanding of advertising, user tracking, and attribution principles. ML expertise: cluster analysis, regression models, etc; Airflow; GitLab; dbt; Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. EU passport. Opportunity to obtain an EU passport after 4 years of residence Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family Corporate mobile plan (unlimited in Cyprus with roaming included) Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals Provident fund (Cyprus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Professional growth support: language courses, conferences, training programs, and coaching. Peer recognition program: receive and share kudos for great work. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free breakfasts and lunches in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities. Recruitment process HR interview (45 min); Technical interview (1,5 hours); Final interview (1 hour).

• решать бизнес-задачи в области pricing для B2B/B2C, прогнозирования и оптимизации финансовых и операционных метрик. • вести ML-проекты end-to-end: от постановки задачи и формализации гипотез до моделирования, пилотирования и оценки результатов.

Location: Москва Дирекция мониторинга Agile занимается созданием дашборда для руководителей в Сбере. Мы собираем данные по всем процессам в Банке, анализируем их и предоставляем необходимую информацию для принятия решений. Ищем в команду DS уровня Senior или кто готов выступить в роли Lead DS, который будет участвовать в полном цикле разработки – от формирования идеи до вывода ML решений в промышленную эксплуатацию (ПРОМ). Вы будете строить ИИ-агентов и ML модели, которые работают с ключевыми процессами и влияют на опыт тысяч сотрудников Сбера. Обязанности ### Обязанности: * погружение в нюансы процессов и участие на встречах с пользователями * активное взаимодействие с командами разработки и DS * разработка прототипов pipeline сбора и обработки данных * разработка CI/CD пайплайнов, оборачивание кода в docker образы, развертывание контейнеров в Kubernetes, управлять секретами и ролевыми доступами * fine-tuning моделей (instruction-tuning, adapters, LoRA, SFT, LLM-RL) * создание, внедрение и развитие MLOps-практики (стенды, процессы, DevOps), инференса LLM (среды разработки, тестирования и инференса моделей в различных режимах работы (Batch, Streaming) и использование ресурсов (CPU, GPU)) * обеспечение мониторинга и выявление узких мест в работе систем. Требования ### Требования: * опыт коммерческой разработки ML-решений / AI агентов от 4-5 лет * полный цикл от идеи до production и понимание, как обеспечить надежность моделей * практический опыт и представление в RAG-системах, мульти агентных приложениях, fine-tuning LLM и prompt инжиниринге * опыт использования Airflow и MLFlow (или другими аналогичными инструментами) * автоматизация процесса мониторинга качества моделей и их калибровка * уверенное знание MLOps практик * уверенное владение ИИ-инструментами. Условия ### Условия: * комфортный современный офис на м. Кутузовская, (офисный режим работы) * ежегодный пересмотр зарплаты, квартальной и годовой премии * уникальная система обучения Сбера для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * расширенный ДМС и льготное страхование для семьи * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью использования на трех близких * вознаграждение за рекомендацию друзей в команду Сбера.

Развитие скоринговых моделей. Построение предиктивных моделей для задач B2C и B2B кредитования, страхования и e-commerce.

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/11/26 ). 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/11/26 ). 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.