AI/ML Engineer

Role- AI/ML Engineer

years of experience- 10 to 18 years

location- Pan India

skills required- Deep learning, PyTorch/TensorFlow, LLM, RAG, vector DBs, APIs, MLOps, cloud, monitoring, GPU (CUDA/NVIDIA), Graph ML (Node embeddings, GNNs), ML pipelines, deployment (batch/real-time), feature stores, CI/CD, cloud, monitoring, Spark/PySpark

Job description:

• Hands-on experience in data science and machine learning (both traditional ML and LLM-based solutions).
• Strong programming skills in Python and familiarity with libraries like PyTorch, TensorFlow, Scikit-learn, LangChain, and HuggingFace.
• Experience building APIs and deploying models with FastAPI.
• Proven experience with AWS ML stack (SageMaker, Bedrock Lambda, EKS, etc.).
• Strong understanding of AI Governance principles including compliance, security, explainability, and monitoring.
• Experience with agents, LLMs, and GenAI applications in production environments.
• Solid foundation in MLOps practices (CI/CD, versioning, monitoring, automation).
• Excellent problem-solving skills and the ability to work cross-functionally with business and engineering teams.