Machine Learning Engineer

Our partner is a dynamically growing company with a strong international background, leveraging data-driven operations to support advanced analytics and AI/ML-based business processes. Working in a modern technology environment, the company places a strong emphasis on the development and operation of scalable data platforms that drive innovation and business value.

We are looking for a Machine Learning Engineer to join their expanding team.

What we're looking for

• 3+ years of experience in Machine Learning Engineering, Applied ML, or Software Engineering with recent production ML delivery.
• Production ML deployment experience, including operating, monitoring, and maintaining models serving real-world inference traffic.
• Strong knowledge of the Databricks ML ecosystem, including MLflow, Model Serving, and Feature Store.
• Experience with AWS services supporting ML workloads (e.g., SageMaker, S3, Lambda, Step Functions, ECS/EKS).
• Hands-on experience building Generative AI / LLM applications, including:
• Retrieval-Augmented Generation (RAG)
• Vector databases
• Prompt engineering
• Integration with OpenAI, Anthropic, Bedrock, or similar APIs
• Experience with Agentic AI frameworks and multi-step workflow orchestration using LangChain, LangGraph, or similar tools.
• Strong Python programming and software engineering fundamentals, including testing, CI/CD, version control, code reviews, and debugging.
• Experience with leading ML frameworks such as PyTorch, TensorFlow, scikit-learn, or XGBoost in production environments.
• Familiarity with containerization and deployment technologies, including Docker, Kubernetes, ECS, and infrastructure-as-code concepts.
• Professional working proficiency in English with strong communication skills