Associate AI/ML Engineer - Hybrid in Eden prairie, MN
About The Position
The Associate AI/ML Engineer role is an exciting, dynamic role within the Enterprise Security and Resilience Office (ESRO) Cyber AI team. Our AI engineering team builds innovative solutions to improve UHG’s cybersecurity stance. The data and systems we protect are distributed across the world, are a complex combination of technologies, and are always evolving. Cybersecurity data is collected in structured, unstructured, and semi-structured formats, at varying velocities, and in a complex, dynamic security environment. The ideal candidate has experience creatively navigating development, analytic, and engineering challenges within a large organization. If you reside in Eden Prairie, MN, you will enjoy the flexibility of a hybrid-remote role as you take on some tough challenges. Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI. You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Requirements
- Bachelor’s degree in CS or IT or engineering related field
- 1+ years of experience developing and delivering statistical models, ML or AI solutions (project work or internship accepted)
- 1+ years of experience with data engineering concepts with an affinity for developing code from the command line
- 1+ years of Software development experience with Python or Java
- 6+ months of experience with GenAI (project work or internship accepted)
Nice To Haves
- Proven problem-solving skills
- Graph ML knowledge
- Demonstrated self-motivated learning capabilities
- Teamwork spirit through disciplined collaborations
- Experience in the cyber security domain
- Foundational knowledge in information technology, including hardware, networking, architecture, protocols, file systems and operating systems
- PySpark experience
- Petabyte-scale experience with Big Data and data science
- Experience working with Big Data systems
- SQL, H2O, Unix, SAS and R experience
- Azure Open AI Studio
- Databricks
- AWS Neptune
- Good communication
- Effective and efficient presentation to different level stakeholders with different backgrounds
Responsibilities
- Working with senior team members and internal customers to produce meaningful data science models, ML or AI solutions that impact cybersecurity
- Collecting, cleaning, processing, and analyzing data related to enterprise cybersecurity
- Developing ML/AI models within an operational CICD pipeline
- Working with source data teams to understand security and operational processes through data
- Remaining up to date and on the cutting edge of big data, data science, ML and AI technology
- Constantly learning and adapting to new techniques, languages, and technologies
Benefits
- a comprehensive benefits package
- incentive and recognition programs
- equity stock purchase
- 401k contribution
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
