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Noida · On-site · 4-7 Yrs · Oct 11
Healthcare Services & Hospitals · 10000+ Employees · Eden Prairie, US
Optum, part of the UnitedHealth Group family of businesses, is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
Hiring: Engineering
What employees say
+ Job assurance is stable even when no projoect is there
− salary hike could be better for experienced candidates and promotion is impossible
More reviews on the company profile.
Interview experience · TDP Intern
They asked for introduction, resume absed questions. Discussion about projects. One DSA question was of adding 2 number without '+' operator, other was recursive factorial calculation. Asked SQL vs NOSQL choice.
Easy difficulty · India · 738 reports
More interview insightsJob description
Overview
Role & responsibilities
Responsibilities
- Contribute to experimentation with novel ML and Generative AI architectures
- Create and maintain embedding models (domain-specific embeddings, document/text embeddings)
- Support Retrieval Augmented Generation (RAG) solutions, including semantic search, vector databases, and LLM integration
- Help design and implement AI powered enterprise applications
- Analyze large datasets to identify trends, patterns, and actionable insights
- Partner with AI/ML Engineers and Leads to enhance existing models and improve model accuracy and performance
- Optimize AI pipelines for scalability, performance, reliability, and cost efficiency
- Integrate AI/ML solutions into enterprise systems by partnering closely with data engineering, product, and platform teams
- Collaborate effectively with cross-functional teams and stakeholders, communicating complex technical concepts clearly
- Contribute to skill development for engineers and interns in AI/LLM techniques
- Comply with company policies, procedures, and directives
- Graduate degree or equivalent experience
- Bachelors/Master’s in CS, Engineering, Mathematics/Statistics, or related
- 4 years of relevant experience, including solid ML model development
- Hands-on expertise in Databricks, Spark, Python, Scala, SQL
- LLM & GenAI Skills:
- Creating custom embedding models
- Building RAG pipelines
- Vector DBs & semantic search
- Using LangChain for agentic workflows (tools, agents, memory)
- Experience with OpenAI/Azure OpenAI APIs
- Experience with Azure cloud for compute, security, and resource management
- CI/CD familiarity using Git, GitHub Actions/Jenkins, Terraform
- Solid ability to build ML models end to end (data prep feature creation training evaluation)
- Proven excellent communication and partnership skills
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Job application FAQ
Last updated 27 October 2026
- How do I apply for AI/ML Engineer(Multi-Level) at Optum?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Optum may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this AI/ML Engineer(Multi-Level) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is AI/ML Engineer(Multi-Level) remote or on-site in Noida, Uttar Pradesh?
- This listing is marked on_site with location Noida, Uttar Pradesh. Confirm details on the job description before applying.
- What skills matter for this AI/ML Engineer(Multi-Level) role at Optum?
- This is a mid-level AI/ML Engineer(Multi-Level) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.