MLOps Engineer I: Build Scalable AI Platforms

S&P Global; New York (NY); On-site; 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 (26 weeks)

401(k) plan with 6% employer matching

Tuition assistance and professional ed

Conferences and events support

Snacks and catered lunches

Dog-friendly office

Bike sharing program

Compassion and elder care leave

Mentoring and learning opportunities

Job summary

Kensho, S&P Global’s AI innovation hub, is seeking an MLOps Engineer to advance our production ML platform in the Cambridge area. You’ll work with ML engineers to build robust tooling, improve observability, and scale model fine‑tuning and RL/LLMs across multiple teams.

You’ll help evaluate open‑source solutions, drive adoption, and develop scalable automation that accelerates research to production while maintaining engineering discipline and best practices.

Qualifications

• 1+ years of ML infra, ML Ops, or ML engineering experience.
• Experience with Kubernetes and cloud platforms.
• Proficiency in Python; familiarity with ML concepts.
• Understanding of distributed systems and monitoring.
• Excellent communication across teams.

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 unique processes, identify pain points, and form effective solutions.
• Empower engineers with the stable tooling necessary to rapidly experiment and actualize their research into demonstrable prototypes and mature products
• Evaluate, select and champion open source and third-party solutions, driving their adoption across teams and integrating into Kensho’s existing platform ecosystem
• Ship scalable, efficient, and automated processes for model fine‑tuning and reinforcement learning and for the evaluation of LLMs/Agents
• Improve LLM and Agentic observability to help monitor agentic applications in production, detecting performance, decay and drift issues

Skills

Python

Kubernetes

AWS

ML Infra

Tools

Ray

Airflow

Terraform

LangGraph

PyTorch

S3

Job description

Kensho, S&P Global’s AI innovation hub, is seeking an MLOps Engineer to advance our production ML platform in the Cambridge area. You’ll work with ML engineers to build robust tooling, improve observability, and scale model fine‑tuning and RL/LLMs across multiple teams.

You’ll help evaluate open‑source solutions, drive adoption, and develop scalable automation that accelerates research to production while maintaining engineering discipline and best practices.