Description

Key Skills: Python, AI/ML, Generative AI, LLMs, NLP, RAG, Agentic AI, LangChain, LangGraph, Machine Learning, CI/CD, Microservices, Data Pipelines

Roles & Responsibilities:

• Lead end-to-end AI/ML solution development from problem definition to production deployment.
• Design, build, and optimize LLM-based, RAG, and Agentic AI applications.
• Develop and evaluate machine learning models using industry-standard metrics.
• Implement AI services, APIs, microservices, and scalable data pipelines.
• Build production-ready AI platforms with CI/CD, monitoring, and observability.
• Apply Responsible AI principles, including bias, fairness, explainability, and governance.
• Conduct model performance analysis, drift detection, retraining, and continuous improvement.
• Collaborate with business, infrastructure, and engineering teams to deliver enterprise AI solutions.
• Drive architecture decisions and technical leadership for AI/ML initiatives.
• Mentor engineers and promote best practices in AI engineering and MLOps.

Experience Required:

• 10-15 years of overall experience with 8+ years in AI/ML Engineering.
• Strong expertise in NLP, LLMs, Generative AI, RAG, and Agentic AI.
• Hands-on experience with LangChain, LangGraph, AutoGen, or similar AI orchestration frameworks.
• Deep understanding of machine learning, statistics, probability, optimization, and deep learning.
• Experience evaluating models using Precision, Recall, F1 Score, ROC-AUC, and related metrics.
• Strong Python programming skills with experience building APIs and microservices.
• Experience developing production-grade AI services, data pipelines, and CI/CD workflows.
• Knowledge of Responsible AI, bias mitigation, explainability, and governance frameworks.
• Experience with MS SQL is an added advantage.

Education: Any Graduation

Key Skills

Education

Any Graduate