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

Position:

• Associate AI/ML Engineer

Company:

• Optum, part of UnitedHealth Group

Location:

• Bangalore, Karnataka, India

Job type:

• Full-time

Job mode:

• Onsite

Job requisition id:

• 2283523

Years of experience:

• 0 to 3 years (entry-level to early career professionals)

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Company description:

• Optum is a technology and health services organization under the UnitedHealth Group umbrella.

• The company operates at the intersection of healthcare, data, and advanced technology, aiming to create meaningful change in the way health services are delivered.

• Their mission revolves around improving how healthcare systems function, supporting millions of individuals through better access, affordability, and outcomes.

• Optum handles some of the world’s largest health-related datasets and uses them to build predictive models, guide lifestyle choices, and manage pharmacy benefits.

• Teams at Optum focus on innovation, using advanced AI, machine learning, and analytics to design solutions that address critical healthcare challenges.

• Working at Optum means being part of a culture that values creativity, collaboration, and problem-solving. Employees are encouraged to think beyond conventional methods and contribute ideas that can improve patient care and system efficiency.

• The company believes in diversity, inclusion, and providing opportunities to people from all backgrounds, creating a work environment where every voice is heard.

• As part of UnitedHealth Group, Optum provides a global platform with vast resources, enabling employees to work on impactful projects that matter to society.

• Employees are offered a wide range of opportunities to grow their skills, contribute to transformational projects, and be recognized for meaningful work.

• Joining Optum provides not just a job but an opportunity to create positive change in healthcare, empowering individuals to do their life’s best work.

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Profile overview:

• The Associate AI/ML Engineer role focuses on applying artificial intelligence and machine learning techniques to solve real-world healthcare and technology problems.

• Professionals in this role are expected to design, code, and deploy machine learning models into production environments.

• Core responsibilities include working with advanced algorithms, implementing natural language processing, computer vision, deep learning, and other AI methodologies.

• The role demands not just technical execution but also effective communication, as engineers are expected to explain complex analytical results to leadership teams and stakeholders.

• This position gives new graduates and early-career professionals an opportunity to apply their academic knowledge in practical industry settings.

• Engineers will work on healthcare-specific challenges, such as analyzing patient data, predicting medical outcomes, and optimizing care delivery.

• The work environment emphasizes collaboration, requiring constant interaction with cross-functional teams including data scientists, software engineers, product managers, and business analysts.

• Engineers will engage with large-scale computing frameworks and data platforms, ensuring that the models and solutions they build are scalable and reliable.

• The role blends research and applied problem-solving, giving candidates exposure to both cutting-edge innovation and practical implementation.

• It is an entry-level role but designed to accelerate growth for individuals passionate about AI, ML, and healthcare technology.

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Qualifications:

• A bachelor’s degree in computer science, data science, artificial intelligence, or a related technical discipline. Equivalent work experience is also acceptable.

• Strong knowledge of programming languages, especially Python, R, or Java, for implementing machine learning solutions.

• Familiarity with SQL and database concepts for handling structured data.

• Understanding of statistics, probability theory, and optimization techniques.

• Exposure to machine learning concepts including regression, classification, clustering, and recommendation systems.

• Knowledge of experimental methodologies such as A/B testing and hypothesis testing.

• Ability to use frameworks like TensorFlow, PyTorch, or Scikit-learn for deep learning and machine learning model development.

• Good analytical thinking with problem-solving skills to design and optimize AI-driven solutions.

• Communication skills to explain technical results in simple terms to business stakeholders.

• A growth mindset, willingness to learn continuously, and readiness to adapt to evolving technologies in the AI/ML domain.

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Additional info:

• This is a regular, full-time, exempt role under the Optum technology business segment.

• The position is based in Bangalore, with no travel requirements, making it suitable for candidates looking for stability and onsite collaboration.

• Work involves daytime shifts, aligning with regular office hours.

• The company ensures compliance with a drug-free workplace policy. Selected candidates must clear a pre-employment drug test.

• Optum provides equal employment opportunities and maintains a diverse, inclusive workplace. Applicants will be considered regardless of gender, race, religion, disability status, veteran status, or any other protected category.

• The role comes with opportunities for career advancement, allowing associates to move into specialized AI/ML engineering, data science, or leadership roles as they gain experience.

• Employees will have access to mentorship, training programs, and internal resources to sharpen technical expertise.

• The role provides exposure to cutting-edge technologies within healthcare, offering a strong foundation for long-term career growth.

• Since the healthcare industry is rapidly transforming, this role positions employees at the forefront of innovation, ensuring they gain future-ready skills.

• Candidates joining this role will contribute to projects that directly impact patient care, healthcare efficiency, and overall system improvements.

Please click here to apply.