Middle/Senior ML Engineer
August 3
Description
• 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.
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 Intermediate. • Excellent communication and problem-solving skills.
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