Senior ML Engineer (LLMs, AWS)

📋 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.

🎯 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 ML models in production.
• Practical experience with NLP, LLMs, and Recommendation engines.
• Python expertise, Docker.