S&P Global · United States · Just now · 0 applicants
NewRemoteFull-timeJunior
Pay
$120k–$140kListed
Workplace
Remote
Job type
Full-time
Level
Junior
Team: Kensho · Source: jobright · Posted by joined-scrapper
About the role
This MLOps Engineer I role at Kensho, S&P Global's AI innovation hub, focuses on building and supporting the ML platform, improving tools, services, and infrastructure for machine learning teams. The position emphasizes robust ML workflows, model and agent evaluation, production observability, and enabling teams to effectively develop and deploy models and products.
What you’ll do
Build and support the ML platform
Improve tools, services, and infrastructure for ML teams
Ensure robust ML workflows
Conduct model and agent evaluation
Implement production observability
Enable teams to develop and deploy models effectively
What you’ll need
1+ years in ML infrastructure, MLOps, or ML engineering
Experience with Kubernetes
Cloud platform experience with AWS (EKS, Bedrock, SageMaker)
Python proficiency
Understanding of ML concepts, LLMs, and agents
Ability to debug distributed systems
Original job description
Kensho, S&P Global’s AI innovation hub, is hiring an MLOps Engineer I to build and support the ML platform and improve the tools, services, and infrastructure used by its machine learning teams. The role focuses on robust ML workflows, model and agent evaluation, production observability, and enabling teams to develop and deploy models and products…