Ai Ml Engineer

Role: AI/ML Engineer

Location: PAN India

Exp range: 4-9 years

Tech stack: Agentic Frameworks (LangGraph, LangChain), Python, LLM, RAG, Transformers, Develop Sophiticated ML Models, NLP, Deep Learning, Supervised//Unsupervised/Reinforced learning

Required skills:

• 8+ years of total experience
• 4+ years of work experience in AI projects with deployment of AI based projects in production. •
• Good Understanding of Agentic AI, and Agentic Frameworks (LangGraph, LangChain)
• Knowledge and Experience of working with Large Language Models, RAG, Transformers etc
• Develop sophisticated ML models to create new data samples, patterns, or content based on existing data or inputs
• Should have a working experience of AI/ML projects deployed in Production.
• Experience implementing multiple machine learning and AI techniques such as supervised, unsupervised, reinforcement learning, Deep learning, NLP
• Proficiency with cloud development environments such as Azure Proficiency with experience in ML and NLP
• Comprehensive knowledge and experience of Azure/AWS services for AI/ML Projects (Databricks, AKS/EKS, ADF, Cognitive Services etc, Logic Apps, Power Automate etc.)
• Proven good grasp of using LLMs, Deploying LLMs Proficiency in libraries such as Hugging face and OpenAI API
• Conduct model testing, validation, and optimization to enhance performance
• Proven experience in containerizing AI/ML projects.
• Proven experience in CI/CD pipelines and tools like GitHub Actions
• Collaborate with stakeholders to preprocess, analyze, and interpret extensive datasets
• Stay current with the latest advancements in generative AI technologies and practices
• Orchestration and management of containers in production environments for AI/ML projects
• Proven strategic thinking in systems capacity planning, hardware and software updates, and migration
• Solid programming skills in Python
• Solid background in programming languages such as Python, SQL, PySpark, Hive, Shell Scripting.
• Experience with cloud platforms AI Stacks like AWS Bedrock, Azure AI, GCP Vertex AI is a plus
• Proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch
• Solid programming skills in Python, with experience in pandas, NumPy, and SQL
• Familiarity with AIML governance, ethics, and responsible AI practices
• Proven track record in resolving code vulnerabilitie