Associate AI/ML Engineer

Bangalore, Karnataka
Permanent
Full-time

8 hours ago

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.AI/ML Engineers code and develop software that deploys ML models and algorithms into production. Communicate and present complex analytics results and concepts to leadership and internal stakeholders. Employ AI and/or ML that may include natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR).Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations. May adapt machine learning to areas such as artificial intelligence, robotics and other products that allow users to have an interactive experience. Work with large scale computing frameworks, data analysis systems. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis, using both general purpose software and statistical languages..Primary Responsibilities:

Evaluate and experiment with state-of-the-art architectures (e.g., Transformers, Diffusion Models, Retrieval-Augmented Generation)
Publish internal whitepapers and contribute to external conferences where applicable
Engineering & Implementation

Design and implement scalable AIML pipelines using frameworks like PyTorch, TensorFlow, Hugging Face, and MLflow
Collaborate with engineering teams to deploy models into production using MLOps best practices (CI/CD, model versioning, monitoring)
Tooling & Infrastructure

Evaluate and integrate advanced AIML tools such as GitHub Copilot, Windsurf, Vertex AI, Azure OpenAI, and Hugging Face Transformers
Work with cloud platforms (AWS, Azure, GCP) to ensure scalable and secure model deployment
Architecture & Strategy

Architect end-to-end AIML systems including data ingestion, model training, inference, and feedback loops
Partner with enterprise architects and product leaders to align AIML capabilities with business goals 3
Mentorship & Collaboration

Mentor junior engineers and researchers
Collaborate with cross-functional teams including data scientists, software engineers, and business stakeholders
Basic, structured, standard approach to work
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

EligibilityTo apply to an internal job, employees must meet the following criteria:

SG 25 & SG 26 can apply

SG 25 will move to SG 26
SG 26 will move laterally
Performance rating in the last common review cycle of "Meets Expectations" or higher.
Not be on any active CAP (Corrective Action Plan) or active disciplinary action.
Time in Role Guidelines

Should have been in your current position for a minimum of 12 months, if you have not met the recommended minimum time in role, discuss your career interest with your manager and gain alignment prior to applying. And share the alignment email with respective recruiter while applying

Required Qualifications:

Bachelors Degree in Computer Science, Machine Learning, or related field
Experience in Data science and Machine Learning
2+ years of working in Gen AI and LLM's
2+ years of Proficiency in Python, including libraries like pandas, NumPy, and scikit-learn
2+ years of experience in SQL
Ability to build, train, and optimize machine learning models for production
Knowledge of Large Language Models (LLMs) for text and conversational applications
Familiarity with data cleaning, feature engineering, and model evaluation best practices
Excellent analytical thinking and communication skills for cross-functional collaboration

Preferred Qualifications:

Hands-on experience with deep learning frameworks (TensorFlow/PyTorch)
Experience using cloud platforms (AWS/GCP/Azure) for scalable deployments
Exposure to Retrieval-Augmented Generation (RAG) methodologies and AI Agents

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

UnitedHealth Group

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