科技職缺
職缺列表
Data Platform Engineer
Навыки: Bash, SQL, Python, Apache Spark. Квалификация: Senior. Специализации: Инженер по данным. Иви — один из лидеров рынка онлайн-кинотеатров в РФ и странах СНГ. №1 в рейтинге Лучших работодателей России четыре года…
Cloud Data Engineer
Remote Cloud Data Engineer designing and implementing data pipelines, cloud data architecture, and integration solutions across platforms. Core stack is Salesforce, Salesforce Data Cloud, and Python, with cross-functional collaboration on scalable, high-availability data systems.
Mlops Engineer
Remote MLOps Engineer designing and maintaining scalable ML pipelines for training, validation, and deployment, while monitoring model performance and collaborating with data scientists and engineers across cloud platforms (GCP, Azure Databricks).
Data Engineer
Data Engineer building and maintaining scalable data pipelines that support AI/ML model training, including ETL workflows, data preprocessing, and feature engineering. Collaborates with AI Researchers on dataset preparation and validation using Python, SQL, Airflow, TensorFlow, PyTorch, and related ML frameworks.
MLOps / AI DevOps Engineer
Design and maintain scalable backend services and REST APIs (FastAPI, microservices) powering AI-driven applications, including MCP servers, real-time streaming via LiveKit, and orchestration with Airflow/Celery, while owning CI/CD pipelines.
QA Automation Engineer
Designs and executes automated test suites for AI models, REST APIs, and CI/CD pipelines using Python (PyTest/Unittest/Robot Framework), ensuring model validation, data integrity, and reliable deployments of AI-driven applications.
Backend App Developer
Backend developer designing and maintaining FastAPI microservices, MCP integrations, and real-time APIs that power AI-driven applications, collaborating with AI, ML, and DevOps teams to ship production-ready services.
Mlops Engineer
Lead the architecture and development of complex, high-scale ML systems while driving technical decisions and mentoring teams. Core stack includes Python, AWS SageMaker, Kubernetes, MLflow, Kubeflow, Docker, TensorFlow, and CI/CD pipelines for end-to-end MLOps workflows.
Senior Azure Cloud and Full-Stack Engineer
Senior engineer owning the Azure cloud backend and React/TypeScript admin portal for Luxoft's connected-vehicle and infotainment data platform. Designs Python REST APIs, event-driven workflows, PostgreSQL schemas, and CI/CD pipelines with Terraform, Docker, and AKS, while collaborating closely with the Android team.
Data Engineer
Senior Data Engineer embedded with government agencies to build data products and pipelines. Designs ingestion pipelines, data warehouse access, and reusable data models; works across AWS/Azure/GCP with Databricks, Python, SQL, and orchestration tools like Airflow and Azure Data Factory.
Software Consultant (Data Engineer)
Data engineering consultant building scalable ETL/ELT pipelines on AWS using PySpark, Python, Glue, Step Functions, Lambda, and Terraform for banking/financial services migration and modernization programs.
AWS Data Engineer
Builds scalable data systems, warehouses, and pipelines for an IT solutions consultancy using AWS (EC2, S3, EMR, Redshift, Athena, Kinesis), Python, SQL, Java, Spark, Airflow, and Oracle. Involves ETL/ELT, Kubernetes-based DevOps, and ML deployment.
Data Engineer
Data Engineer at Wells Fargo designing and executing data migration strategies to GCP (BigQuery, Bigtable), building scalable ETL/ELT pipelines with Python, SQL, and Spark, and enabling LLM integrations and MCP servers for AI workflows.
AI Engineer
Build and maintain a multi-agent AI system automating performance media trading decisions for a charity-focused agency; own agents end-to-end across prompt design, MCP tool wiring, ETL pipelines, evaluation frameworks, and Slack-based human-in-the-loop workflows on Python, SQL, and cloud infrastructure.