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Senior Python Developer building and optimizing large-scale data pipelines on a bank's core AI & Data platform using Python, PySpark, Airflow, and Kubernetes.
The ML Engineer/Data Scientist develops and maintains customer-centric data models and ML features to support CRM and analytics applications. The role involves working with Python, SQL, Databricks, and MLOps tools to build scalable data products within a cloud environment.
Build and maintain scalable, reliable data pipelines on GCP using Spark, Airflow, Kafka, DBT, and SQL/NoSQL databases, implementing Data Lake and Lakehouse architectures.
Мы - Команда SberAds - создаем предиктивные модели и высоконагруженные сервисы по их применению для показа рекламы в интернете. Все модели используются в real-time аукционах на показ рекламы: начиная с того, чтобы…
Senior Backend & Data Engineer building a sports analytics/refereeing platform from scratch. Responsible for the server layer and data warehouse (PostgreSQL, Alembic), API development (FastAPI, Pydantic), and real-time features (SSE).
Data Engineer owning and scaling tracking data infrastructure that captures millions of user events daily, building ELT pipelines with Python, SQL, Airflow, Snowflake, and AWS.
DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly…
Builds and maintains scalable data pipelines using distributed processing tech (GCP, Spark, Airflow) to ingest, transform, and deliver high-quality data. Focuses on database organization, data modeling, API integrations, and migrating to cloud platforms like BigQuery or Microsoft Fabric.
The Data Engineer will build and maintain a scalable, self-service analytics platform by managing ingestion pipelines, developing data tools, and supporting ML and streaming projects. The role requires strong expertise in Spark, Python, Scala, and cloud-based data infrastructure.
Salary: £? - ? per year Requirements: 3+ years of experience developing applications in a modern programming environment, preferably Scala/Java and/or Python. Experience managing batching and/or streaming data…
Salary: £80,000 - 95,000 per year Requirements: Extensive experience in Data Engineering and modern cloud data platforms, with AWS preferred. Strong SQL expertise and experience with dbt or similar ELT tools.…
Задачи: Создание моделей нейронных сетей в задачах Object detection, Instance Segmentation, Classification, Pose Estimation. Проработка сценариев тестирования моделей машинного обучения. Участие в создании инструкций…
Lead a team that builds and maintains the data platform powering Taboola’s reporting, billing, experimentation, and ML training using distributed systems like Kafka, Spark, and Kubernetes.
Build and orchestrate scalable ETL/ELT workflows using Python, Airflow, and cloud data platforms like Snowflake and AWS.
UFORCE exists to make aggression unaffordable. Founded in Ukraine and headquartered in London, UFORCE is a defence-technology company with operations across Europe, the United States and Asia. UFORCE builds uncrewed…
Lead Data Scientist at SberAds building and improving predictive models across the real-time ad auction pipeline using Python, Go, Spark, Kafka, ClickHouse, and MLFlow.
This role involves building and owning the MLOps and observability stack for a new European cloud platform, focusing on Kubernetes-based services like Kubeflow and Airflow. The engineer will design scalable infrastructure, develop APIs, and maintain production reliability using Go and Python.
The Senior Software Engineer will build and maintain MLOps and observability services for a new European cloud platform based on Kubernetes and open-source technologies. The role involves end-to-end ownership of tools like Kubeflow, Airflow, and monitoring stacks, utilizing Go and Python to design scalable cloud infrastructure.
Привет! Это команда Возвраты ML. Мы ищем талантливого Data Scientist/ML Engineer в новую ML-команду отдела «Возвраты маркетплейса». Отдел занимается обработкой и модерацией возвратов покупателя и продавца, аннуляциями,…
Обязанности: Разработка и поддержка ETL/ELT-процессов, пайплайнов и витрин данных. Интеграция разнородных источников: ERP, MES, PMIS, Excel, внешние системы. Работа с Apache Airflow, Spark, Kafka; при необходимости —…
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