Description

Develop and deploy generative AI algorithms, LLMs, and agentic workflows for scalable production systems.

This role is remote.

Responsibilities

• Develop generative AI models for creating new data samples, patterns, or content.
• Implement ML techniques including supervised, unsupervised, deep learning, and NLP.
• Build and deploy solutions using Python, integrating LLMs, RAG, and agentic AI workflows.
• Deploy models on Azure, GCP, and AWS with robust CI/CD practices and containerization.
• Optimize models for performance, cost, and reliability through systematic experimentation.

Required Skills

• 10+ years of experience in data science or machine learning engineering.
• Strong proficiency in Python for ML development and deployment.
• Hands-on experience with LLMs, RAG architectures, and agentic AI.
• Deep understanding of NLP, supervised, unsupervised, and deep learning techniques.
• Experience deploying models on Azure, GCP, and AWS.
• Proficiency with CI/CD practices and containerization.
• Ability to integrate observability and monitoring for production AI systems.
• Knowledge of compliance and security standards for AI deployments.

Key Skills

Education

Any Graduate