Optum's Enterprise Information Security (EIS) team is responsible for cybersecurity across the organization, aiming to reduce risk, respond to threats, ensure business resiliency, and secure new acquisitions. The Associate AI/ML Engineer role is crucial for building innovative solutions to improve UHG's cybersecurity stance by leveraging AI and ML on complex, evolving, and distributed cybersecurity data.
Requirements
- 1+ years of experience developing and delivering statistical models, ML or AI solutions
- Experience with data engineering with an affinity for developing code from the command line
- Fluency in Python
- GenAI experience
- 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
- Graph ML knowledge
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
Other
- Undergraduate degree
- Experience with effective and efficient presentations to different level stakeholders with different backgrounds
- Proven problem-solving skills
- Demonstrated self-motivated learning capabilities
- Teamwork spirit through disciplined collaborations
