
Senior AI/ML Engineer
7 days ago
At UnitedHealth Group, we're committed to helping people live healthier lives and making the health system work better for everyone. As a Senior AI/ML Engineer, you'll play a critical role in advancing our mission by developing and deploying cutting-edge AI and machine learning solutions.
Key Responsibilities:
- Design and implement data pipelines for efficient data ingress and model output egress
- Develop and run scripts for ML model inference, ensuring accurate and reliable results
- Develop and maintain CI/CD pipelines for MLOps and DevOps functions, ensuring seamless deployment and monitoring
- Identify technical problems and develop software updates and fixes to improve system performance
- Develop scripts or tools to automate repetitive tasks, increasing productivity and efficiency
- Automate the provisioning and configuration of infrastructure resources, ensuring scalability and reliability
- Provide guidance on the best use of specific tools and technologies to achieve desired results
- Create documentation for infrastructure design and deployment procedures, ensuring knowledge sharing and collaboration
Requirements:
- Undergraduate degree or equivalent experience in a relevant field
- 5+ years of experience in the mentioned tech stack, with a strong focus on AI and machine learning
- Proficiency in Python and one of PySpark or Scala, with familiarity with Python tools for data processing
- Ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, AWS, Databricks, AzureML)
- Knowledge of the software development life cycle, with experience in Linux shell scripting
- DevOps skills, including experience building and maintaining CI/CD pipelines, traditional software monitoring, scaling, and quality management (QMS), and DevOps tools (Github, GitHub Actions, Docker, Kubernetes, etc.)
Preferred Qualifications:
- Experience deploying and maintaining ML models in production, with a focus on model observability and performance
- Experience working in an interdisciplinary environment, particularly in engineering and medicine
- Familiarity with model versioning tools (MLFlow, etc.) and data versioning tools (Delta Lake, DVC, LakeFS, etc.)
- Demonstrated track record of patents and/or scientific publications in machine learning or a related field
- Comfortable working in a fast-paced, highly collaborative, and fluid work environment
We're committed to creating an inclusive and diverse work environment that reflects the communities we serve. If you're passionate about using AI and machine learning to improve health outcomes, we encourage you to apply for this exciting opportunity.
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