UnitedHealth Group
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 Responsibility
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 regards 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
Master's or Relevant in Computer Science, Machine Learning, or related field
10+ years of experience in AIML engineering and research
Hands-on experience with MLOps, model deployment, and monitoring
Deep, hands-on experience with FastAPI and Pydantic for building robust, schema-validated microservices
Experience with experiment tracking tools (e.g., Weights & Biases, MLflow)
Experience building systems that communicate via message queues like Azure Service Bus
Experience in explainable AI (AXI) tools - such as LIME and SHAP
Cloud-Native Development: Solid experience with Docker for applications and deploying orchestrated environments like Kubernetes (AKS)
In-depth knowledge of LLM vulnerabilities (OWASP Top 10 for LLMs) and experience implementing guardrails against prompt injections and data
Familiarity with AIML governance, ethics, and responsible AI practices
Proven expertise in LLMs, generative AI, and deep learning
Solid programming skills in Python and familiarity with ML libraries (e.g., scikit-learn, Keras)
Asynchronous & Concurrent Programming: Mastery of Python's asyncio to build scalable, I/O-bound services
Expert-level Python for Production Systems: Proven ability to architect and write clean, typed, and testable code for distributed systems
#Exetech
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.
#J-18808-Ljbffr
Caring. Connecting. Growing together.
Primary Responsibility
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 regards 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
Master's or Relevant in Computer Science, Machine Learning, or related field
10+ years of experience in AIML engineering and research
Hands-on experience with MLOps, model deployment, and monitoring
Deep, hands-on experience with FastAPI and Pydantic for building robust, schema-validated microservices
Experience with experiment tracking tools (e.g., Weights & Biases, MLflow)
Experience building systems that communicate via message queues like Azure Service Bus
Experience in explainable AI (AXI) tools - such as LIME and SHAP
Cloud-Native Development: Solid experience with Docker for applications and deploying orchestrated environments like Kubernetes (AKS)
In-depth knowledge of LLM vulnerabilities (OWASP Top 10 for LLMs) and experience implementing guardrails against prompt injections and data
Familiarity with AIML governance, ethics, and responsible AI practices
Proven expertise in LLMs, generative AI, and deep learning
Solid programming skills in Python and familiarity with ML libraries (e.g., scikit-learn, Keras)
Asynchronous & Concurrent Programming: Mastery of Python's asyncio to build scalable, I/O-bound services
Expert-level Python for Production Systems: Proven ability to architect and write clean, typed, and testable code for distributed systems
#Exetech
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.
#J-18808-Ljbffr