Description

You will lead the integration of AI models into production and design scalable, AI-driven orchestration systems.

Responsibilities

• Develop, train, and deploy ML models optimized for production environments.
• Build AI orchestration systems to manage the end-to-end lifecycle of LLMs, including deployment and scaling.
• Design embedding and chunking strategies for efficient data processing using vector databases.
• Implement Text-to-SQL solutions and optimize GenAI workflows for database interactions.
• Create automated feedback loops and evaluation metrics to refine model accuracy using real-world data.

Required Skills

• 10+ years of experience in machine learning and AI development.
• Proficiency in Python.
• Experience with TensorFlow or PyTorch.
• Hands-on experience with Large Language Models (LLMs) and prompt engineering.
• Practical knowledge of Vector Databases (VectorDB) and embedding strategies.
• Proven ability to implement Text-to-SQL methodologies.
• Experience with AWS cloud platforms.
• Competency with Docker and Kubernetes for containerization.
• Strong understanding of model evaluation techniques and feedback loop systems.

Preferred Skills

• Experience building ML pipelines for continuous evaluation and refinement in production.

Key Skills

Education

Any Graduate