Description

You will design and deploy scalable AI-driven systems, integrating large language models into production environments across AWS.

Responsibilities

• Develop, train, and deploy ML models optimized for production performance.
• Build AI orchestration systems to manage the end-to-end lifecycle, including deployment and scaling.
• Implement automated feedback loops and evaluation metrics to refine model accuracy.
• Design embedding and chunking strategies for efficient data processing and high-dimensional querying.
• Develop GenAI-driven Text-to-SQL solutions to automate database queries via natural language.

Required Skills

• 5+ years of experience building, deploying, and maintaining ML models in production.
• Proficiency in Python and frameworks such as TensorFlow or PyTorch.
• Hands-on experience with Large Language Models (LLMs) and LLM integration.
• Experience with Vector Databases (VectorDB) and embedding/chunking strategies.
• Practical application of prompt engineering methodologies.
• Knowledge of AI orchestration tools and Text-to-SQL workflows.
• Experience with AWS cloud platforms and containerization using Docker and Kubernetes.
• Strong understanding of model evaluation techniques and feedback loop systems.

Preferred Skills

• Bachelor's or master’s degree in Computer Science, AI, Machine Learning, or a related field.

Key Skills

Education

Bachelor's or master’s degree