Optum

Bengaluru
Total Offices: 5
160,000 Total Employees
Year Founded: 2011
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Optum Offices

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Optum has three workplace models that balance the needs of the business and the responsibilities of each role. These models, core on‑site (5 days/week), hybrid (4 days/week) and telecommute or fully remote, vary by country, role and location.

Typical time on-site: Not Specified

Global Office Locations

Bengaluru Chennai Hyderabad New Delhi Pune

Bengaluru

Bengaluru, India, India

Chennai

Chennai, India, India

Hyderabad

Hyderabad, India, India

New Delhi

New Delhi, India, India

Pune

Pune, India, India

Recently posted jobs

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Data Scientist

6 Days AgoSaved
Remote
India
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Work with large-scale health-related data to develop insights and solutions that improve healthcare delivery, pharmacy benefits, and patient guidance. Collaborate on high-performance teams to apply analytic methods and support Optum's mission to make the health system work better for everyone.
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Optum

Senior AI/ML Engineer

6 Days AgoSaved
Remote
India
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead design, development, training, evaluation, and productionization of scalable ML/AI models using MLOps and CI/CD. Collaborate with data, product, and engineering teams, mentor engineers, enforce ML best practices, and ensure responsible, ethical AI and model monitoring in production.
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Optum

Senior Director AI ML Engineering

6 Days AgoSaved
Remote
India
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead AI/ML engineering vision and roadmap for healthcare and life sciences. Oversee multiple client engagements, design and deploy scalable production-grade AI solutions (ML, NLP, deep learning, computer vision, LLMs), ensure regulatory readiness, responsible AI practices, and drive adoption and value realization while managing executive client relationships and expanding AI adoption.
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