Full-Time Lead AI\/ML Software Engineer
Optum, Inc is hiring a remote Full-Time Lead AI\/ML Software Engineer. The career level for this job opening is Expert and is accepting USA based applicants remotely. Read complete job description before applying.
Optum, Inc
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As a Lead AI/ML Software Engineer, you will be responsible for the design, implementation, and scaling of AI systems for health applications at Optum. These systems will solve problems focused on improving patient engagement, predicting progression of disease, and optimizing clinical trials using both structured and unstructured (text) data. As a lead engineer in charge of AI systems, you will apply state-of-the-art approaches for MLOps to ensure the performance and reliability of machine learning models serving our customers and build data pipelines that deliver real-time insights.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
- Own the orchestration and delivery of machine learning insights to multiple customers
- Manage, monitor, and scale machine learning systems, delivering insights to multiple customers
- Own model and data orchestration
- Drive pipeline efficiency and reliability through automation and testing
- Work with the broader technical team to scope engineering milestones, provide updates, and communicate challenges
- Develop new data pipelines to improve ML model performance
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
- Bachelor of Science in computer science or related quantitative field
- 5+ years of experience with software engineering and software development life cycle (SDLC)
- Experience with PySpark or SQL
- Experience with cloud environments and cloud-based batch model deployments using Python in at least one of Azure, AWS, Google Cloud
- Proficiency with CI/CD tools to ship production code
Preferred Qualifications:
- MS or PhD in computer science or related quantitative field
- Expertise in ML Ops, for example, model monitoring, drift detection, and event-based model retraining
- Experience with Databricks, AzureML, and Snowflake or related technologies
- *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.