Sr DevOps Engineer-ML Ops

2 weeks ago

Gurgaon, Haryana, India UnitedHealth Group Full time

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 diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.

Primary Responsibilities:

Developing and running pipelines for data ingress and model output egressDeveloping and running scripts for ML model inference Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functionsIdentifying technical problems and developing software updates and 'fixes'Developing scripts or tools to automate repetitive tasksAutomate the provisioning and configuration of infrastructure resourcesProvide guidance on how to best use specific tools or technologies to achieve the desired resultsCreating documentation for infrastructure design and deployment proceduresComply 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

Required Qualifications:

Undergraduate degree or equivalent experienceExperience of at least 7+ years with proficient in Python and one of PySpark or Scala. Familiarity with python tools for data processingAbility to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, AWS, Databricks, AzureML)Knowledge of the software development life cycleLinux shell scriptingDevOps Skills:
Experience building and maintaining CI/CD pipelinesExperience with DevOps tools (Github, GitHub Actions, Docker, Kubernetes, etc.)Experience with one or more data-oriented workflow orchestration frameworks (Prefect, Dagster, Kedro, Airbyte, KubeFlow, Airflow, Argo, etc.)Familiarity with traditional sofware monitoring, scaling, and quality management (QMS).Security and vulnerability management

Preferred Qualifications:

Experience deploying and maintaining ML models in productionExperience with model observability tools for insights into the behavior, performance, and health of your deployed ML models (tracking, alerting, compliance monitoring, etc.)Familiarity with model versioning tools (MLFlow, etc.).Familiarity with data versioning tools (Delta Lake, DVC, LakeFS, etc.)

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.

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