Lead Machine Learning Engineer (MLOps & LMOps)
Location- Onsite, [Louisville, KY, 40041],
This position designs, builds, tests, and delivers production grade
AI systems, with a specific focus on language model operations (LMOps)‿the deployment, monitoring, and scaling of both small and large language models. This position works in collaboration with Architecture,
Engineering, and Data Science teams to operationalize intelligent systems that power AI and data science products. This position is responsible for implementing end to end pipelines for language models and traditional
ML models, integrating CI/CD workflows, model monitoring, and infrastructure as code practices. The role contributes to the continuous improvement of AI infrastructure and deployment reliability across
cloud native environments.
You will work with Vertex AI, Kubernetes (GKE), BigQuery, and Terraform to build scalable and cost efficient ML infrastructure.
The ideal candidate must have a good understanding of ML algorithms,
experience in model monitoring, performance optimization, Looker dashboards and infrastructure as code (IaC), ensuring ML models are production ready, reliable, and continuously improving. You will be interacting with multiple technical teams, including architects
and business stakeholders to develop state of the art machine learning systems that create value for the business.
o Performs detailed design of complex applications and complex architecture components
o May lead a small group of developers in configuring, programming, and testing
o Fixes medium to complex defects and resolves performance problems
o Accountable for service commitments at the individual request level for in scope applications
o Monitors, tracks, and participates ticket resolution for assigned tickets
o Manages code reviews and mentors other developers
Thanks & Regards,
Arundeep Rayabandi
Senior Talent Acquisition Specialist
American IT Systems
1116 S Walton Blvd, Suite 113 Bentonville, AR 72712
https://americanitsystems.com/
linkedin.com/in/arundeep-r-713a421b8
Phone No:::(479) 265 8527
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