Artificial Intelligence and Machine Learning continue to reshape industries worldwide, and Optum is at the forefront of this transformation. If you’re an AI/ML professional looking for a challenging opportunity to work on enterprise-scale healthcare solutions, this role could be the perfect next step in your career. Optum is currently hiring Associate AI/ML Engineers in Gurgaon for candidates with 2–5 years of experience who are passionate about building production-ready AI solutions, deploying machine learning models, and working with cutting-edge technologies like Generative AI, Large Language Models (LLMs), TensorFlow, PyTorch, AWS, Azure, and GCP.
Whether you’re already working as an AI Engineer, Machine Learning Engineer, Data Scientist, or MLOps Engineer, this opportunity offers exposure to real-world healthcare AI systems while working with one of the world’s largest healthcare technology organizations. 🚀
🏢 About Optum
Optum is a leading health services and innovation company that is part of UnitedHealth Group, one of the largest healthcare organizations globally. Operating across more than 150 countries, Optum leverages technology, analytics, AI, and data science to improve healthcare delivery, reduce costs, and enhance patient outcomes.
The company invests heavily in cloud technologies, AI platforms, predictive analytics, and digital transformation, enabling engineers to solve meaningful problems affecting millions of people worldwide.
🌍 Why professionals love working at Optum
• Global healthcare technology leader
• Excellent learning and career growth opportunities
• Exposure to enterprise-scale AI/ML projects
• Collaborative engineering culture
• Competitive compensation and benefits
• Opportunities to work on Generative AI and cloud-native solutions
• Strong focus on innovation and research
💼 Job Overview
Position: Associate AI/ML Engineer
Company: Optum
Location: Gurgaon, India
Experience: 2–5 Years
Job Category: Technology
Employment Type: Full-Time
Work Area: Artificial Intelligence & Machine Learning
⭐ Why This Role is Great for Experienced Professionals
If you’ve already built machine learning models and want to move toward enterprise AI engineering, this role provides excellent exposure.
Some of the biggest advantages include:
• Work on production-grade AI systems.
• Build scalable machine learning pipelines.
• Gain exposure to Generative AI and Large Language Models.
• Work alongside experienced Data Scientists and ML Engineers.
• Learn healthcare AI applications.
• Improve your MLOps and cloud engineering skills.
• Build highly scalable AI solutions used by millions.
• Opportunity to work with responsible AI practices.
🛠 Key Responsibilities
As an Associate AI/ML Engineer, you’ll contribute across the complete AI development lifecycle:
• Design and deploy machine learning models.
• Build scalable ML pipelines.
• Clean and preprocess structured and unstructured datasets.
• Perform feature engineering.
• Train and evaluate machine learning models.
• Optimize model performance and scalability.
• Develop NLP and Deep Learning solutions.
• Integrate AI models into production systems.
• Collaborate with software engineers and data scientists.
• Monitor deployed models.
• Work with cloud-based AI infrastructure.
• Document AI experiments and deployments.
• Stay updated with emerging AI technologies.
💻 Skills Required
Candidates should possess strong knowledge in:
Programming
• Python
• SQL
Machine Learning
• Supervised Learning
• Unsupervised Learning
• Model Evaluation
• Feature Engineering
• Data Cleaning
AI Frameworks
• TensorFlow
• PyTorch
• Scikit-learn
Generative AI
• Large Language Models (LLMs)
• Prompt Engineering
• Retrieval Augmented Generation (RAG)
• Foundation Models
Cloud Platforms
• AWS
• Microsoft Azure
• Google Cloud Platform
MLOps
• CI/CD
• Model Monitoring
• Version Control
• ML Pipelines
Additional Skills
• Deep Learning
• Computer Vision
• Natural Language Processing
• Responsible AI
• Model Explainability
• Bias Detection
• Data Engineering
💰 Expected Salary Range
Although Optum has not officially disclosed the compensation, based on industry standards:
| Experience | Expected Salary |
|---|---|
| 2 Years | ₹10–14 LPA |
| 3 Years | ₹13–18 LPA |
| 4 Years | ₹16–22 LPA |
| 5 Years | ₹20–28 LPA |
| Actual salary depends on: | |
| • Technical skills | |
| • AI project experience | |
| • Interview performance | |
| • Previous compensation |
🎯 Expected Interview Rounds
The hiring process generally includes:
Round 1 – Recruiter Screening
• Resume discussion
• Experience validation
• Salary expectations
• Notice period
Round 2 – Technical Assessment
Topics may include:
• Python
• SQL
• Machine Learning
• Statistics
• Feature Engineering
• Data Structures
Round 3 – AI/ML Technical Interview
Questions on:
• TensorFlow
• PyTorch
• Model deployment
• NLP
• Deep Learning
• Cloud deployment
• ML pipelines
Round 4 – System Design
Candidates may discuss:
• Production ML pipelines
• Recommendation systems
• LLM applications
• Model monitoring
• Scalability
Round 5 – Managerial Interview
• Communication
• Ownership
• Collaboration
• Problem-solving
Round 6 – HR Discussion
• Compensation
• Benefits
• Offer negotiation
📚 Preparation Tips
To maximize your chances:
• Revise Python fundamentals thoroughly.
• Practice SQL joins, window functions, and optimization.
• Build end-to-end ML projects.
• Learn TensorFlow or PyTorch deeply.
• Understand model evaluation metrics.
• Practice deploying ML models using FastAPI or Flask.
• Learn Docker basics.
• Study AWS SageMaker, Azure ML, or Vertex AI.
• Explore LLM concepts and prompt engineering.
• Understand Responsible AI principles.
• Review healthcare AI use cases.
• Prepare GitHub projects showcasing your work.
📄 Resume Tips
A strong AI/ML resume should include:
• Professional summary highlighting AI expertise.
• Production AI project experience.
• ML pipeline development.
• Cloud deployment experience.
• TensorFlow/PyTorch expertise.
• NLP or Computer Vision projects.
• GitHub portfolio.
• Certifications in AI/ML or cloud technologies.
• Quantifiable achievements (accuracy improvements, latency reduction, deployment success, etc.).
Use ATS-friendly keywords like:
• Machine Learning
• Python
• TensorFlow
• PyTorch
• NLP
• Deep Learning
• MLOps
• AWS
• Azure
• GCP
• Generative AI
• LLM
• Model Deployment
• Feature Engineering
• CI/CD
🌟 Why Join Optum?
Working at Optum means contributing to technology that improves healthcare for millions of people. Engineers gain hands-on exposure to modern AI platforms, enterprise-scale systems, and cutting-edge innovations in machine learning and Generative AI. The company offers a collaborative work culture, continuous learning opportunities, global exposure, and the chance to solve meaningful real-world problems using advanced technology.
📩 How to Apply?
👉 Application Link: Click Here
🤝 Referral Tip
Want to improve your chances of getting noticed?
Connect with someone at Optum and request a referral—it can significantly enhance your visibility in the hiring process.
Associate AI/ML Engineer
Location: Gurgaon
Requisition Number: 2373414
Before applying:
• Update your resume with recent AI/ML projects.
• Highlight TensorFlow, PyTorch, cloud, and MLOps experience.
• Include GitHub or portfolio links if available.
• Tailor your resume to match the job description and AI-related keywords.
If you’re passionate about Artificial Intelligence, Machine Learning, Generative AI, and building scalable production systems, this is an excellent opportunity to advance your career with one of the world’s leading healthcare technology organizations. 🚀
