Machine Learning Operations Engineer II

S&P Global
Cambridge, New York
Workplace: HybridFull time130,000 - 175,000 annuallyFunction: Data Science & Machine LearningExperience: 2+ yearsSkills: ["Communication","Collaboration","Problem-solving","Teamwork"]

Join Kensho’s MLOps team to advance the ML platform by building tools, services, and frameworks that make the ML workflow robust, auditable, and production-ready. Collaborate with ML engineers and infrastructure teams to reduce friction, improve observability, and accelerate productionization of models and agents across diverse research and product teams.

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FursaFursa
S&P Global
S&P Global
5 months ago

Machine Learning Operations Engineer II

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 28 days agoStatus: Live

Job Summary

Join Kensho’s MLOps team to advance the ML platform by building tools, services, and frameworks that make the ML workflow robust, auditable, and production-ready. Collaborate with ML engineers and infrastructure teams to reduce friction, improve observability, and accelerate productionization of models and agents across diverse research and product teams.
Location: Cambridge, New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Iterate on Kensho’s ML processes to develop tools, services, and frameworks that make every stage of the ML workflow robust, auditable, and usable.
  • •Work closely with ML engineers to understand their processes, identify pain points, and form effective solutions.
  • •Empower engineers with stable tooling to rapidly experiment and actualize research into prototypes and mature products.
  • •Provide resources and training for ML teams on best practices to productionize their work for high-value products and services.
  • •Evaluate, select and champion open source and third-party solutions and drive their adoption across teams.

Pay and Benefits

Salary: 130,000 - 175,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceVision401kPaid LeaveTuition AssistanceParenteral Leave

Key Requirements

  • •2+ years of experience in ML infra, ML Ops, ML Engineering or similar
  • •Experience managing distributed systems with Kubernetes (concepts and trade-offs)
  • •Cloud Platform experience (AWS) with tools like EKS and managed ML services (Bedrock, SageMaker)
  • •Python proficiency (Python shop)
  • •Familiarity with distributed computing frameworks and workflow orchestration (Ray, Airflow)
Experience:2+ yearsAIML
Skills:CommunicationCollaborationProblem-solvingTeamwork
Languages:English
Tech Stack:PythonBashLangGraphPyTorchRayAmazon EKSAirflowJsonnetTerraformGitGithubAWSLangFuseSentryPrometheusWeights & Biases

Company Brief

S&P Global
Provides financial information, analytics, benchmarks, and credit ratings to markets and institutions worldwide, offering data, research, indices, and risk assessment tools across the financial services and commodities sectors.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 1917
WebsiteLinkedIn