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

Position: Associate AI/ML Engineer

Company: Optum

Location: Gurgaon, India

Job type: Full-time

Job mode: Onsite

Job requisition id: 2373414

Years of experience: 0-3 years

Company description

Optum is a premier global organization dedicated to delivering advanced healthcare solutions, powered by cutting-edge technology, to help millions of people across the globe live healthier lives.
The team at Optum works tirelessly to improve health outcomes by connecting individuals with essential care, pharmacy benefits, actionable data, and vital resources.
The company culture is deeply rooted in inclusion, supported by highly talented peers, and enriched by comprehensive benefits and professional career development opportunities.
As part of the UnitedHealth Group family, Optum is driven by a mission to make the health system work better for everyone, regardless of age, location, or background.
The organization is committed to mitigating its environmental impact and delivering equitable, high-quality care that actively addresses health disparities and improves community outcomes.
By fostering a culture of innovation, integrity, compassion, and performance, Optum invites professionals to make a meaningful difference on a global scale.
Joining Optum means becoming part of a community that values caring, connecting, and growing together to advance health optimization for diverse populations.

Profile overview:

The Associate AI/ML Engineer role is a pivotal position focused on the design, development, and deployment of high-impact machine learning models and AI solutions within production-grade healthcare environments.
Professionals in this role will work extensively with massive datasets, performing critical tasks such as data cleaning, sophisticated preprocessing, and feature engineering to ensure model efficacy.
The successful candidate will implement and refine machine learning algorithms using industry-standard frameworks like TensorFlow, PyTorch, and other specialized tools.
Collaboration is at the heart of this role, as the engineer will work closely with experienced data scientists and software engineers to seamlessly integrate advanced AI capabilities into existing healthcare applications and systems.
A significant part of the responsibility involves continuous monitoring, rigorous evaluation, and iterative optimization of models to ensure maximum accuracy, scalability, and robust performance in real-world scenarios.
The role demands the application of specific AI techniques—including Natural Language Processing (NLP), computer vision, or deep learning—tailored to solve complex business use cases.
Documentation of experimental processes, model configurations, and deployment workflows is essential to maintain transparency and facilitate knowledge sharing across technical teams.
Effective communication is required to translate complex technical findings and data-driven insights into clear, structured, and actionable narratives for diverse stakeholders.
The role requires an active interest in staying current with the rapidly evolving landscape of AI and Machine Learning, specifically focusing on Generative AI and Large Language Models (LLMs).
Adaptability is paramount, as the engineer must comply with evolving company policies, including potential re-assignments, changes in team structure, or adjustments to work environments driven by the dynamic healthcare business landscape.

Qualifications:

Candidates must possess a graduate degree or demonstrate equivalent professional experience in a relevant technical discipline.
Proven experience in building comprehensive, end-to-end Machine Learning pipelines—from raw data ingestion and feature selection to model training and final production deployment—is required.
Applicants should have demonstrated experience in domain-specific applications, with preference given to those with backgrounds in healthcare, customer service optimization, or large-scale automation.
A strong working knowledge of MLOps best practices is essential, specifically concerning CI/CD pipelines, automated model monitoring, and rigorous version control.
Familiarity with major cloud computing platforms, such as Azure, AWS, or GCP, is necessary for managing infrastructure and deploying scalable AI solutions.
A deep understanding of Responsible AI principles is critical, with a specific focus on ensuring fairness, mitigating algorithmic bias, and maintaining model explainability.
The candidate must have proven exposure to advanced techniques such as Generative AI, Large Language Models (LLMs), or complex deep learning architectures.
Excellent analytical, problem-solving, and critical thinking skills are required to navigate the challenges inherent in healthcare data and AI implementation.
Strong interpersonal skills are necessary for effective cross-functional collaboration and to facilitate clear communication between technical and non-technical team members.
Ability to work in a fast-paced environment while adhering to internal quality standards, security protocols, and compliance directives is mandatory.
An unwavering commitment to the mission of improving health equity and addressing health disparities through technological innovation is highly valued.

Additional info:

Optum provides a comprehensive benefits package designed to support team members across all facets of their lives, including physical, emotional, and financial well-being.
The company offers robust resources for stress management, resilience building, and professional education to help employees grow both personally and professionally.
Financial benefits are structured to assist employees with current needs while helping them plan effectively for long-term retirement and future stability.
Optum is an equal employment opportunity employer, ensuring that all qualified applicants receive consideration for employment without regard to race, religion, age, gender, sexual orientation, or disability.
The organization maintains a drug-free workplace and requires candidates to successfully pass a drug test prior to the commencement of employment.
Reasonable accommodations are provided for individuals with physical or mental disabilities during the recruitment and application process to ensure equal access to opportunities.
Employees benefit from a culture that celebrates diversity and inclusion, with multiple awards and recognitions highlighting the company’s commitment to an exceptional work environment.
The role offers exposure to some of the most advanced healthcare technology stacks, providing a unique platform for career advancement in the intersection of AI and public health.
Team members are encouraged to participate in a collaborative culture that values integrity, compassion, and continuous learning, ensuring that everyone feels supported in their professional journey.
Opportunities for career development are integrated into the work experience, allowing engineers to refine their skills in MLOps, cloud architecture, and GenAI within a global enterprise setting.
The work environment is characterized by a commitment to high performance, where innovative ideas are welcomed and leveraged to solve systemic health challenges.
The company actively fosters a sense of belonging and community, ensuring that team members feel connected to the meaningful, life-improving impact of their daily contributions.