Optum is hiring for an fresher entry level AI/ML Engineer role in India

Position:

• AI/ML Engineer

Company:

• Optum (a part of UnitedHealth Group)

Location:

• New Delhi, Delhi, India

Job type:

• Full-time

Job mode:

• Onsite

Job requisition id:

• 2283519

Years of experience:

• 0–3 years

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Company description 

• Optum is a global health services company that belongs to the UnitedHealth Group family.

• The company works across the healthcare ecosystem to improve outcomes, reduce costs, and deliver insights using data and technology.

• They specialize in areas such as pharmacy care services, healthcare delivery, data analytics, and technology-driven solutions for both individuals and organizations.

• Optum is focused on transforming the healthcare experience by providing tools and services that make systems more efficient and effective.

• Its workforce includes clinicians, data scientists, engineers, and experts from a wide range of fields.

• With innovation at its core, Optum continually builds digital platforms and data-driven tools that redefine patient engagement and clinical decision-making.

• Operating at a global scale, the company supports clients in solving complex challenges across a wide range of health-related domains.

• Optum is deeply committed to ethical standards, diversity, and inclusiveness.

• It creates opportunities for employees to grow and encourages them to contribute to healthcare's future with meaningful work.

• The company is known for its collaborative culture and high-performing teams that focus on long-term impact.

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Profile overview: 

• The AI/ML Engineer role at Optum involves building and deploying machine learning solutions in real-world environments.

• The position requires a strong foundation in software engineering as well as applied machine learning.

• Responsibilities include integrating ML models into production, optimizing workflows, and ensuring models serve business goals.

• The engineer will collaborate with cross-functional teams to align technical deliverables with broader organizational needs.

• Communicating results and technical concepts to leadership and internal stakeholders is an important part of the job.

• The role includes working on varied AI technologies such as NLP, computer vision, intent detection, and speech recognition.

• Engineers will apply deep learning frameworks to solve complex problems involving data from diverse sources.

• The position demands hands-on experience with programming tools, large-scale data systems, and performance optimization.

• Working knowledge of experimental design, probability, and statistical methods is essential.

• Candidates must be capable of writing production-quality code and building tools for statistical evaluation and ML experimentation.

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Qualifications: 

• Bachelor’s degree in a technical discipline such as Computer Science, Data Science, Statistics, or a related field.

• Strong background in software development with proficiency in Python or similar programming languages.

• Experience or academic exposure to machine learning, including supervised and unsupervised learning techniques.

• Familiarity with common ML frameworks like TensorFlow, PyTorch, or scikit-learn is expected.

• Understanding of concepts in NLP, deep learning, and neural networks.

• Comfortable using data visualization tools and conducting exploratory data analysis.

• Basic knowledge of probability, statistics, and optimization techniques.

• Familiarity with cloud computing services (e.g., AWS, GCP, or Azure) is a plus.

• Exposure to data engineering pipelines and working with large-scale data systems is advantageous.

• Strong problem-solving skills and ability to work in collaborative team settings.

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Additional info: 

• This is a full-time onsite position based in New Delhi, India.

• The role is part of Optum’s larger technology and AI/ML team focused on building health-tech solutions.

• The company maintains a drug-free workplace policy. Candidates must clear a drug test before onboarding.

• UnitedHealth Group is an Equal Opportunity Employer. All qualified applicants are considered without bias.

• Employees are expected to demonstrate strong ethical values and contribute to an inclusive work culture.

• No travel is required for this position.

• Work will generally follow standard day shifts, with exemptions based on project or team needs.

• Candidates will work with a team of engineers and data professionals in an agile setup.

• The work environment encourages innovation and experimentation with new technologies and models.

• Support and mentorship will be provided, especially for early-career professionals.

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Roles and Responsibilities:

Model Development & Deployment

• Build machine learning and deep learning models using structured and unstructured data.

• Prepare data pipelines to support real-time and batch deployment of models.

• Apply NLP, NLU, and semantic analysis to healthcare-related problems.

• Work on use-cases involving computer vision, ASR, and advanced signal processing.

• Ensure model explainability and interpretability using appropriate frameworks.

Production Engineering

• Write clean, testable, and optimized code for deploying ML models.

• Collaborate with software engineers to integrate models into scalable systems.

• Monitor performance of deployed models and iterate based on performance metrics.

• Debug, test, and troubleshoot machine learning algorithms in production.

Communication and Reporting

• Present findings, methodologies, and technical trade-offs to business stakeholders.

• Document models, codebases, and experimental results.

• Provide support to internal teams in understanding the use of AI in business processes.

• Contribute to knowledge-sharing sessions and internal learning platforms.

Research and Experimentation

• Stay updated with the latest ML and AI research trends.

• Experiment with cutting-edge algorithms in deep learning, reinforcement learning, and generative AI.

• Design and run A/B experiments to test new solutions.

• Explore alternative approaches to existing ML implementations to improve efficiency.

Collaboration

• Partner with product managers and data scientists to define objectives.

• Work closely with DevOps and IT teams for model hosting and scalability.

• Participate in daily scrums and sprint planning as part of agile workflow.

• Assist in mentoring new team members and interns as needed.

Please click here to apply.