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Data Engineer
Build and maintain data pipelines and warehouses for AI projects, using PySpark, Databricks, and Azure services to centralize and process large datasets.
Data Engineer (Data Products)
Build and maintain scalable data pipelines to turn AI/ML model outputs into reliable, high-quality data products for retail applications using Python, SQL, Spark, and cloud platforms.
Data engineer
Build and maintain robust ETL/ELT pipelines, cloud data warehouses/lakes, and curated datasets for BI and AI initiatives using Snowflake, Azure, or AWS.
Data Engineer
Build and maintain SeQura’s data pipelines and infrastructure, transforming raw payment data into reliable analytics tools for teams across the fintech.
Senior AI Full-Stack Engineer: Production ML Systems
Build and deploy AI systems end-to-end, from prototypes to production, using Python and ML frameworks while collaborating with cross-functional teams.
Full Stack Engineer - React / Typescript / Python
Builds internal tools and data dashboards using React/Next.js/TypeScript on the frontend and Python (FastAPI/Django) on the backend for a quantum AI company.
AI Full Stack Engineer
Build and deploy production-grade AI systems end-to-end, from data pipelines and ML models to scalable deployment and monitoring using Python, PyTorch, and MLOps tools.
Full Stack Development (Internship)
Build and ship full-stack features with JavaScript/TypeScript (Node, React) in a cross-functional team, iterating from concept to polished product.
Full Stack Developer (Intermediate)
Build and maintain web and mobile apps using JavaScript/React/Node.js and databases; collaborate with cross-functional teams to ship features and debug issues.
Senior DevOps Engineer – Azure/Kubernetes, MLOps (Remote)
Designs and maintains Azure-based Kubernetes clusters and CI/CD pipelines using Terraform, Jenkins, and Docker for a product company.
Devops AI Engineer
Build and run the cloud platform that powers the company’s AI services on AWS and Kubernetes, automating deployments with Terraform and CI/CD while supporting MLOps workflows like SageMaker, MLflow, Airflow and Kubeflow.
DevOps Engineer (Cloud/Hybrid)
Build and maintain cloud/hybrid CI/CD pipelines, Kubernetes clusters, and automation toolchains for Siemens Mobility’s transport-focused SaaS platforms.
DevOps Engineer
Build and maintain cloud infrastructure using Azure, Kubernetes, Terraform, and CI/CD pipelines with Jenkins and Azure DevOps.
DevOps Engineer
Design and manage scalable cloud infrastructure for AI workloads using AWS, Kubernetes, Terraform, and observability tools.
Backend Developer
Build and deploy AI-driven data analytics and generative AI solutions on Azure and GCP, including MLOps pipelines and agentic AI workflows.
ML Engineer – Flexible Work, Energy Data Platform
Build and maintain ML models for an energy-data platform that collects sensor and consumption data from buildings to help owners cut costs and emissions.
End-to-End Data & ML Engineer (LATAM) — AI-Driven Pipelines
Design and maintain AI-driven data pipelines in Python, ensuring efficient processing and compliance while translating business needs into data solutions.
GenAI Python Developer
Build shared AI tooling and frameworks in Python to let every engineering team ship GenAI apps fast and safely, focusing on LLM apps, RAG, and AI agents.
Data Scientist в команду LLM
Build and fine-tune large language models for Avito’s products, optimizing training pipelines and inference speed for production-scale NLP systems.
ML Ops
Build and maintain AI-powered DevOps pipelines for an internal AI agent ecosystem, focusing on LLM inference, MCP integration, and AI artifact tracking in software releases.