AI Machine Learning Engineer
$100,960–$151,440 year
Hybrid · Chicago, Illinois, United States or Charlotte, North Carolina, United States
Chicago, Illinois, United States or Charlotte, North Carolina, United StatesHybridFull Time$100,960–$151,440 yearMid LevelNot SpecifiedEnterprise
Type
Full Time
Level
Mid Level
Education
Not Specified
Company size
Enterprise
Job Summary
Research, experiment with Generative and ML algorithms; implement production-grade AI solutions and ML models; deploy and maintain ML workflows (MLOps); collaborate with Enterprise Data, Applied AI, Business, Cloud Enablement, and Enterprise Architecture teams; deliver milestones for model deployment in AWS and GCP; promote MLOps practices within the Data Science community.
Required Qualifications
- Must be authorized to work in the U.S. now and in the future
- 1+ years of equivalent experience in a research or DevOps function
- Development experience developing solutions within AWS, GCP or both
- Exposure to developing repeatable architectural patterns; ability to identify redundancies and eliminate them with these patterns
- Familiarity with building and deploying API services within the Cloud
- Familiarity building CICD pipelines using Jenkins or equivalent
- Exposure with IAC (Infrastructure as Code) including Cloud Formation, Terraform, or equivalents
- Experience in Unix, git, and strong object oriented development experience using Python
- Exposure to with workflow automation platforms (Apache Airflow, Autosys, similar)
- Basic understanding of Data Science model development life cycle
- Familiarity with emerging data centric technologies such generative AI, Agentic workflows, and embedding LLM’s into automated processes
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