Hiring: Senior AI/ML Engineer - Bangalore Company: Optum India Location: Bengaluru, Karnataka, India Job Posted Time: 2026-09-16 16:41:44 Employment Type: Contract Target Skills & Keywords : AWS, Azure, Data Pipeline, Databricks, Deep Learning, Docker, Fine-tuning, GCP, Java, Keras, Kubernetes, LLM, LangChain, MLOps, Machine Learning, NumPy, Pandas, Pinecone, PyTorch, Python, R, RAG, SQL, TensorFlow, scikit-learn About the job Required Skills: •Design and Develop ML Models: Research, design, and develop machine learning and deep learning models to address business challenges. This includes everything from selecting the right algorithms to building predictive models from the ground up •Data Pipeline and Preprocessing: Build and maintain robust data pipelines. You will be responsible for gathering data from various sources, cleaning it, and transforming it into a usable format for model training •Model Training and Evaluation: Train, test, and validate machine learning models to ensure they are accurate, reliable, and meet business requirements. This involves performing statistical analysis and running experiments to optimize model performance •Deployment and MLOps: Deploy trained models into production environments and maintain their lifecycle. You will implement MLOps best practices for monitoring, retraining, and updating models to ensure they remain effective over time. •Collaboration and Innovation: Work closely with data scientists, software engineers, and product managers to integrate AI/ML models into our applications and systems •Stay Current: Keep up-to-date with the latest advancements in the field of AI, machine learning, and deep learning, and be prepared to apply new research to our products. •Build Generative AI and LLM Workflows: Design, develop, and optimize LLM-powered applications and agentic workflows - including retrieval-augmented generation (RAG), prompt engineering, tool/function calling, and multi-step orchestration - to deliver production-grade generative AI features •Ensure LLM Reliability and Evaluation: Establish evaluation frameworks, guardrails, and structured, type-safe output validation to ensure generative AI systems are accurate, safe, cost-efficient, and reliable in production Qualifications: •Proven experience deploying and managing machine learning models in a production environment •Knowledge of MLOps principles and tools Compensation: •Flexible work environment (work from home / hybrid options) •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!