AI/ML Engineer

Taleo; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

UnitedHealth Group in Bengaluru is seeking a senior ML/AI engineer to design, train, and deploy scalable machine learning solutions that improve health outcomes. You will build end-to-end pipelines, collaborate with data teams, and advance production-grade AI across enterprise applications.

Here's a chance to work on predictive analytics, forecasting, and generative AI initiatives while upholding Responsible AI principles, governance, and security standards in a global health technology

Qualifications

• Bachelor's degree in CS/Data Science/Engineering or related field.

Responsibilities

• Design, train, evaluate, and deploy ML models for predictive analytics, forecasting, recommendation systems, classification and anomaly detection.
• Translate business requirements into scalable AI/ML solutions and perform EDA, feature engineering, and data preparation.
• Build ML pipelines covering data ingestion, feature engineering, model training, validation, deployment, monitoring, and retraining.
• Deploy models via APIs, containerized services, and cloud-native platforms; monitor accuracy, drift, latency, and operational health.
• Collaborate with data engineering to develop scalable data pipelines and reusable AI components; ensure governance and Responsible AI practices.

Skills

Python

SQL

Machine Learning

Statistical Modeling

Data Science

API Development

Cloud Platforms

MLOps

Education

Bachelor's degree in CS/Data Science/Engineering or related field

Tools

Azure ML

SageMaker

Vertex AI

MLflow

Kubeflow

Spark/Databricks

PySpark

Kafka

TensorFlow/PyTorch

Job description

Improve the lives of others while Caring. Connecting. Growing together.

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.

Primary Responsibilities:

• Design, develop, train, evaluate, and deploy machine learning models supporting:
  • Predictive analytics
  • Forecasting
  • Recommendation systems
  • Classification and regression
  • Anomaly detection
• Translate business requirements into scalable AI/ML solutions
• Apply machine learning, statistical modeling, and data science techniques to solve business problems
• Perform exploratory data analysis (EDA), feature engineering, data preparation, and model experimentation
• Work with structured, semi-structured, and unstructured datasets
• AI/ML Engineering & Model Lifecycle
  • Build and maintain machine learning pipelines supporting:
    • Data ingestion
    • Feature engineering
    • Model training
    • Model validation
    • Model deployment
    • Monitoring and retraining
  • Implement model evaluation, benchmarking, and performance measurement processes
  • Support model optimization and hyperparameter tuning activities
  • Contribute to repeatable and scalable AI engineering practices
• MLOps & Production Deployment
  • Deploy machine learning models using APIs,
    containerized services, and cloud-native platforms
  • Contribute to reusable AI components, frameworks, and engineering assets
  • Monitoring & Operational Excellence
  • Monitor deployed models for:
    • Accuracy
    • Drift
    • Latency
    • Reliability
    • Operational health
  • Support implementation of observability capabilities including monitoring, logging, alerting, and performance reporting
  • Participate in troubleshooting, root cause analysis, and production support activities
  • Help ensure AI solutions meet enterprise standards for reliability and operational excellence
• Collaborate with data engineering teams to develop scalable data pipelines and feature engineering workflows
• Integrate AI and machine learning capabilities into enterprise applications, APIs, and business processes
• Support development of reusable features and AI services for enterprise consumption
• Responsible AI & Governance
  • Follow Responsible AI practices related to explainability, fairness, transparency, and governance
  • Support model validation, auditability, and compliance activities
  • Adhere to organizational security, privacy, and governance standards
• Emerging AI Technologies
  • Explore emerging AI, Generative AI, and Agentic AI technologies and contribute to innovation initiatives
  • Support implementation of AI capabilities including:
    • Large Language Models (LLMs)
    • Retrieval-Augmented Generation (RAG)
    • Embeddings
    • Semantic Search
  • Contribute to engineering best practices and continuous improvement initiatives
• Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements

Required Qualifications:

• Bachelor's degree in computer science, Data Science, Engineering, Mathematics, Statistics, Artificial Intelligence, or related field
• 5+ years of experience in Machine Learning, Artificial Intelligence, Data Science, Software Engineering, or related disciplines
• Experience developing and deploying machine learning solutions in enterprise or cloud environments
• Experience building machine learning pipelines and production-ready AI solutions
• Experience working with APIs, cloud-based AI services, and distributed data platforms
• Experience integrating AI/ML solutions into business applications and workflows
• Knowledge of model monitoring, performance evaluation, and production support processes
• Solid understanding of:
  • Machine Learning
  • Statistical Modeling
  • Predictive Analytics
  • Model Evaluation
  • Feature Engineering
• Familiarity with MLOps practices including model deployment, monitoring, experiment tracking, and lifecycle management
• Solid programming skills in Python and SQL
• Understanding of Responsible AI, model governance, and compliance requirements
• Proven solid analytical, problem-solving, communication, and collaboration skills

Preferred Qualifications:

• Experience deploying machine learning solutions using Azure ML, SageMaker, Vertex AI, MLflow, Kubeflow, or similar platforms
• Experience with distributed data processing technologies including Spark, Databricks, PySpark, Kafka, or modern data engineering platforms
• Experience developing machine learning and deep learning solutions using TensorFlow, PyTorch, or equivalent frameworks
• Experience with Generative AI technologies including:
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Embeddings
  • Semantic Search
  • Agentic AI concepts
• Experience integrating AI services and model APIs into enterprise applications
• Experience contributing to reusable AI frameworks, engineering accelerators, or platform capabilities
• Experience working within healthcare, financial services, insurance, or other regulated industries
• Familiarity with model monitoring, observability, and operational analytics practices
• Familiarity with NLP, recommendation systems, forecasting, anomaly detection, or intelligent automation solutions
• Understanding of Responsible AI, model risk management, and governance frameworks
• Contributions to AI innovation initiatives, open-source projects, technical publications, or enterprise transformation efforts

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 is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need special assistance or accommodation for any part of the application process, please call 1-866-566-8715 to be connected to Recruitment Services. Recruitment Services hours of operation are 7 a.m. to 7 p.m. CT, Monday through Friday.

UnitedHealth Group is a registered service mark of UnitedHealth Group, Inc. The UnitedHealth Group name with the dimensional logo, as well as the dimensional logo alone, are both service marks for the UnitedHealth Group, Inc.

Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.