Senior ML Engineer (LLMs, AWS)

Requirements:

• Comfortable with standard ML algorithms and underlying math;
• Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems;
• AWS Bedrock experience strongly preferred;
• Practical experience with solving classification and regression tasks in general, feature engineering;
• Practical experience with ML models in production;
• Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines;
• Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts);
• Python expertise, Docker;
• English level - strong Upper- intermediate;
• Excellent communication and problem-solving skills.

Will be a plus:

• Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECR, EMR, S3, AWS Lambda);
• Practical experience with deep learning models;
• Experience with taxonomies or ontologies;
• Practical experience with machine learning pipelines to orchestrate complicated workflows;
• Practical experience with Spark/Dask, Great Expectations.

Responsibilities:

• Create ML models from scratch or improve existing models;
• Collaborate with the engineering team, data scientists, and product managers on production models;
• Develop experimentation roadmap;
• Set up a reproducible experimentation environment and maintain experimentation pipelines;
• Monitor and maintain ML models in production to ensure optimal performance;
• Write clear and comprehensive documentation for ML models, processes, and pipelines;
• Stay updated with the latest developments in ML and AI and propose innovative solutions.

What We Offer:

• Long-term B2B collaboration;
• Fully remote setup;
• Comprehensive private medical insurance or budget for your medical needs;
• Paid sick leave, vacation, public holidays;
• Continuous learning support, including unlimited AWS certification sponsorship.

Interview stages:

• Recruitment Interview;
• Tech interview;
• HR Interview;
• HM Interview.