AI/ML Engineer - Generative AI/Deep Learning

Mandatory Skills : - Generative AI, Machine Learning, Deep Learning - NLP, TensorFlow, PyTorch - Agentic AI (Lang Graph, ADK, Auto Gen) - Python programming - ML Ops and ML model deployment - AWS/Azure/GCP - Strong communication and presentation skills - Preference for candidates from product-based companies Key Responsibilities : - Design, develop, and deploy AI/ML, NLP, Generative AI, and Agentic AI solutions. - Build and optimize machine learning models and NLP pipelines. - Develop production-ready GenAI applications (chatbots, text generation, AI assistants, etc.). - Implement MLOps pipelines for model training, deployment, monitoring, and maintenance. - Perform data processing, feature engineering, and large-scale model training. - Integrate AI capabilities into products and ensure scalability, reliability, and performance. - Collaborate with cross-functional teams and drive end-to-end ML lifecycle management. Mandatory Skills : - Generative AI, Machine Learning, Deep Learning - NLP, TensorFlow, PyTorch - Agentic AI (Lang Graph, ADK, Auto Gen) - Python programming - ML Ops and ML model deployment - AWS/Azure/GCP - Strong communication and presentation skills - Preference for candidates from product-based companies Key Responsibilities : - Design, develop, and deploy AI/ML, NLP, Generative AI, and Agentic AI solutions. - Build and optimize machine learning models and NLP pipelines. - Develop production-ready GenAI applications (chatbots, text generation, AI assistants, etc.). - Implement MLOps pipelines for model training, deployment, monitoring, and maintenance. - Perform data processing, feature engineering, and large-scale model training. - Integrate AI capabilities into products and ensure scalability, reliability, and performance. - Collaborate with cross-functional teams and drive end-to-end ML lifecycle management.