About the Role
As a Senior AI/ML Engineer at Optum, you will play a key role in transforming healthcare through cutting-edge technology. Your work will impact patient outcomes by advancing how we use artificial intelligence and machine learning in diverse real-world settings. From data science to deployment, your solutions will operate at scale to improve millions of lives worldwide.
Job Snapshot
| Field | Details |
|---|---|
| Company | Optum – UnitedHealth Group |
| Position | Senior AI/ML Engineer |
| Location | Hyderabad, Telangana (Remote considered) |
| Job Type | Full-Time | Day Shift |
| Salary | Not disclosed (Competitive) |
Key Responsibilities
- Analyze complex customer requirements and provide robust AI/ML-driven solutions
- Develop and deploy machine learning models and predictive analytics for healthcare platforms
- Translate high-level concepts into practical applications using real-world data
- Mentor junior team members and lead best practice implementations across the AI/ML stack
- Collaborate cross-functionally with data scientists, software engineers, and stakeholders
Required Qualifications
- Bachelor’s degree (or equivalent experience) in Computer Science, Engineering, or related field
- 3+ years of experience in AI/ML technologies and data analysis
- Strong experience in Python, TensorFlow, PyTorch, or similar frameworks
- Ability to work independently with minimal guidance
- Excellent problem-solving and analytical skills
Why Join Optum?
- Make a global impact through technology, improving millions of lives
- Remote flexibility and inclusive, diversity-driven work culture
- Comprehensive benefits and structured career growth
- Opportunities to innovate in a Fortune 500 healthcare leader
How to Apply
-
Click the “Apply Now” button:
Visit the official UnitedHealth Group application portal:
Apply Now -
Complete the Online Application:
Fill in required details and upload your updated resume/CV. -
Monitor Your Email:
Watch for communications from UnitedHealth Group/Optum recruitment. -
Selection Process:
- Initial application review and shortlisting
- Remote assessments and technical interviews
- Final interview rounds with engineering or leadership
- Offer rollout and onboarding (all remote, no fees)
No application or recruitment fees are required at any stage.
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