Home/Jobs/Associate AI/ML Engineer Associate AI/ML Engineer Optum Noida 1-3 years Today $41.0K–61.4K/yr Full-time Onsite Skills Required LLM RAG Gen AI Prompt Engineering Vector Database Python SQL Pandas NumPy Scikit-learn TensorFlow PyTorch Feature Engineering EDA Model Development Description Optum is hiring for an AI/ML engineering leadership role focused on production ML, GenAI, and MLOps. The work emphasizes scalable, reliable AI systems and cross-functional collaboration.

Company: Optum Role: AI/ML Engineering Lead Experience Solid MLOps experience

Solid cloud experience

Solid GenAI experience

Solid production AI experience

Solid team leadership experience Qualification Bachelors in Computer Science

Master in Computer Science Responsibilities Code and develop software that deploys ML models and algorithms in production

Communicate and present complex analytics results and concepts to leadership and internal stakeholders

Apply machine learning using code for tool building and statistical analysis

Translate research findings into practical AI solutions for the organization

Use experimental methodologies, statistics, optimization, probability theory, and machine learning

Work with large scale computing frameworks and data analysis systems

Design and build production ML systems and scalable ML platforms

Lead AI strategy and mentor ML engineers and data scientists

Collaborate with product, engineering, data science, and UX teams Additional Responsibilities Apply deep learning technologies to enable computers to visualize, learn, and respond to complex situations

Adapt machine learning to artificial intelligence, robotics,



and other interactive products

Comply with employment contract terms, company policies and procedures, and directives related to transfer, re-assignment, work locations, teams, shifts, flexibility, and alternative work arrangements

Follow a basic, structured, standard approach to work Nice To Have Cloud Platforms: Azure

Cloud Platforms: GCP

Cloud Platforms: AWS More Skills Model Optimization, LLM Applications, Enterprise AI Solutions, MLflow, Model Deployment, Feature Stores, Experiment Tracking, CI/CD for ML, Drift Detection, Monitoring, Observability, Model Health Management, Kubernetes, Docker, Distributed Computing, Scalable ML Infrastructure, Databricks, Synapse, BigQuery, Dataflow, Batch Pipelines, Real-Time Pipelines, Kafka, Event Hub, Pub/Sub, Production ML Systems, Responsible AI, Explainable AI, Cost-Optimized AI Solutions, Enterprise Architecture, Scalable ML Platforms, Secure AI Systems, Product Collaboration, Engineering Collaboration, Data Science Collaboration, UX Collaboration, Technical Leadership, AI Strategy, Mentoring, Security, Automation, Scalability, Operational Excellence, Natural Language Processing, Natural Language Understanding, Semantic Understanding, Intent Classification, Computer Vision,



Deep Learning, Automatic Speech Recognition, Machine Learning, Statistics, Optimization, Probability Theory, Data Analysis Systems, Large Scale Computing Frameworks Other Global organization focused on helping people live healthier lives

Mission to connect people with care, pharmacy advantages, data, and resources

Culture guided by inclusion

Comprehensive benefits

Career development opportunities

Enterprise priority on advancing health optimization

Commitment to equitable care and addressing health disparities

Commitment to mitigating environmental impact Follow for Daily AI Tutorials Prepare for this role Recommended resources to build the skills for this position. Sponsored. Generative AI with Large Language Models Coursera Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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