Senior ML Engineer (GenAI)

Core Responsibilities:

• Technical Delivery: Design and implement end-to-end ML solutions, Build scalable ML pipelines.
• Collaboration and Contribution: Mentor junior ML engineers, Conduct code reviews.
• Innovation and Growth: Stay current with ML research, Propose improvements to existing solutions.

Requirements:

• Machine Learning Core: supervised, unsupervised, and reinforcement learning, classical ML libraries, TensorFlow, PyTorch
• LLMs and Generative AI: Experience building production LLM-based applications, RAG Systems: Experience building retrieval-augmented generation architectures
• Data and Programming: Advanced proficiency in Python, Expert with pandas, numpy and data processing libraries
• MLOps and Production: Experience deploying ML models to production environments, Proficiency with Docker
• Cloud and Infrastructure: Strong experience with AWS ML services (SageMaker, Lambda, etc.), Advanced knowledge of GCP ML and data services