US Remote MLOps Engineer I - Scale AI Platforms

S&P Global, Inc.; Cambridge (MA); Hybrid; USD 120,000 - 140,000; Full time

Benefits offered by this job

Medical, Dental, and Vision insurance

100% company paid premiums

Unlimited Paid Time Off

Parental Leave

Job summary

Kensho is S&P Global’s hub for AI innovation and transformation, located in Cambridge, MA with ties to New York. The MLOps Engineer role focuses on empowering ML engineers with state-of-the-art tooling to iterate quickly, build reliable platforms, and scale agentic AI approaches.

Expect collaboration across teams, ongoing learning, and opportunities to attend conferences. We offer top-tier benefits and a base salary range of 120k–140k with annual bonuses and equity plans.

Qualifications

• 1+ years of experience in ML infra, ML Ops, ML Engineering or similar.
• Experience with Kubernetes Cloud Platform (AWS) understanding. We utilize EKS and managed ML services like Bedrock and SageMaker.
• Python proficiency (we are a Python shop mostly).
• Familiarity with distributed computing frameworks and workflow orchestration (Ray, Airflow).
• Familiarity with software engineering best practices in an ML context.
• Some basic understanding of ML concepts, LLMs and agents.
• Ability to debug distributed systems across infrastructure, networking and application layers.
• Excellent communication skills to drive adoption of new tools and best practices across multiple teams.
• Curious, driven, low-ego and eager to learn across engineering disciplines.

Responsibilities

• Iterate on Kensho’s ML processes to develop tools, services, and frameworks for robust ML workflows.
• Work closely with ML engineers to understand processes, identify pain points, and build solutions.
• Provide stable tooling to rapidly experiment and turn research into prototypes and mature products.
• Evaluate and champion open source/third-party solutions and integrate into Kensho’s ecosystem.
• Ship scalable, automated processes for model fine-tuning, RL and evaluation of LLMs/Agents.
• Improve LLM and Agentic observability for production monitoring and drift detection.
• Stay at the frontier by tracking tools/frameworks and promoting best practices.

Skills

Python

Kubernetes (AWS)

LLMs/Agents

Distributed systems

ML infra

Communication

Tools

PyTorch

Airflow

Terraform

Git

Sentry

Prometheus

W&B

LangFuse

LangGraph

Amazon EKS

Job description

Kensho is S&P Global’s hub for AI innovation and transformation, located in Cambridge, MA with ties to New York. The MLOps Engineer role focuses on empowering ML engineers with state-of-the-art tooling to iterate quickly, build reliable platforms, and scale agentic AI approaches.

Expect collaboration across teams, ongoing learning, and opportunities to attend conferences. We offer top-tier benefits and a base salary range of 120k–140k with annual bonuses and equity plans.