Primary Responsibilities:
- Build, fine-tune, and optimize machine learning and deep learning models using frameworks like PyTorch, TensorFlow, and Hugging Face
- Develop GPT-based architecture and multimodal AI applications for text, image, and audio generation
- Develop full-stack solutions with React.js or Next.js for the frontend and FastAPI/Django for backend services integrating AI models
- Implement Retrieval-Augmented Generation workflows using LangChain, Haystack, and LlamaIndex with vector databases like Pinecone or Weaviate
- Utilize MLflow, Weights & Biases, and Azure Machine Learning for experiment tracking, versioning, and deployment
- Containerize and orchestrate applications using Docker and Kubernetes; implement CI/CD pipelines for automated deployment
- Leverage Azure OpenAI, AWS SageMaker, and GCP Vertex AI for cloud-based solutions; optimize inference for edge devices using ONNX Runtime and TensorRT
- Use Robot Framework, PyTest, and AI-driven tools like TestGPT for unit test generation and intelligent test coverage
- Build ETL workflows and orchestrate data processing using Apache Spark and Airflow; manage structured and unstructured data in SQL/NoSQL systems
- Implement document intelligence, semantic search, recommendation systems, and AI-driven analytics dashboards using Plotly, Dash, or Power BI
- Work with stakeholders to define and mange scope and approach for projects
- Define, use and communicate design patterns and best practices
- Present and evaluate design solutions objectively
- Closely working Business Teams, Onshore partners, deployment and infrastructure teams
- Coach and mentor other developers in the team
- 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
Required Qualifications:
- B.E./B Tech/MCA/M Tech / Bachelor's degree Computer Science, Computer Engineering, or other related discipline (16+ years of education, correspondence courses are not relevant)
- 8+ years of experience working with programming, scripting languages such as Java, NodeJS, React
- 8+ years of experience with APIs / micro-services development
- 4+ years of experience with container technologies (Kubernetes, Docker, etc.)
- 5+ years of overall hands-on AI/ML project development using Python programming
- 5+ years of deep learning using PyTorch
- 5+ years of classical machine learning (e.g., sklearn, boosting, NLP)
- 5+ years of data analysis using SQL
- 2+ years of working with large datasets using PySpark, Databricks, Pandas, Numpy, etc.
- 2+ years of experience with Transformers, Hugging Face, LLMs, Generative AI, LangChain
- 2+ years of proficiency with Azure AI, Azure ML, OpenAI
- 2+ years of ML model deployment (e.g., MLflow, Databricks, Azure)
- 1+ years of healthcare domain and system knowledge
- 1+ years of familiarity with Google Cloud Platform (e.g., Dialogflow, Vertex AI)
- Experience with event steaming platforms such as Kafka
- Experience with Cloud platform (AWS, Azure), GitHub actions
- Experience with DevOps, CI / CD
- Experience with automated testing frameworks
- Experience with RDBMS, Snowflake, data bricks, SQL Server
- Experience working with programming, scripting languages such as Java, NodeJS, React or Angular
- Experience with APIs / micro-services development
- Experience with container technologies (Kubernetes, Docker, etc.)
- Experience with monitoring tools like Splunk
- Experience with event steaming platforms such as Kafka
- Experience with AWS, Azure DevOps, GitHub actions
- Experience with DevOps, CI / CD
- Experience with automated testing frameworks
- Hands-on experience with Generative AI applications and building conversational agents
- Solid understanding of data engineering principles, including ETL pipelines and data workflows
- Development experience utilizing Agile
- Proven ability to proactively leverage AI tools throughout the software development lifecycle to drive faster iteration, reduce manual effort, and boost overall engineering productivity
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.
Top Skills
What We Do
We’re the health care technology and innovation company of the UnitedHealth Group enterprise along with UnitedHealthcare. We’re a global organization that’s evolving health care so everyone can have the opportunity to live their healthiest life. With our hands across all aspects of health, we'll provide you with a rewarding career that enables you to grow in the directions that best fit your passions. This is your opportunity to be part of a team that’s dedicated to Caring. Connecting. Growing together.
Our global technology team consists of more than 30,000 innovators from around the world passionate about using technology to improve the lives of people and communities. We are modernizing the health care system through modern analytics, comprehensive clinical expertise, innovative technologies and extensive experience in improving operational and clinical performance.
As part of our team, you will be provided opportunities to channel your curiosity into initiative, working alongside distinguished engineers and developers pursuing innovations that improve the health care experience for everyone. We encourage you to dive in, explore and ask questions about creative ways to use technology to help make the health care system work like an actual system.
Gallery
Optum Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Optum has three workplace models that balance the needs of the business, the responsibilities of a job, and your preference for more flexibility. These models are core on-site 5 days/week, hybrid 3 day/s week and telecommute or fully remote.
