MLOps Engineer II: Scalable AI Infra & LLMs (Equity)

S&P Global, Inc.; Cambridge (MA); On-site; USD 130,000 - 175,000; Full time

Benefits offered by this job

Medical, Dental, and Vision insurance

Unlimited Paid Time Off

26 weeks paid parental leave

401(k) with 6% matching

Up to $20,000 tuition assistance

Dog-friendly office

Bike-sharing program

Job summary

S&P Global, Inc. is looking for a candidate to join Kensho as a ML Engineer. This role focuses on enhancing the Machine Learning processes, developing tools, and provides training on effective ML practices. Ideal candidates should have 2+ years of experience related to Machine Learning infrastructure and demonstrate proficiency in Python, Kubernetes, and AWS.

We offer a competitive salary of $130,000–$175,000 along with a range of benefits including unlimited PTO, paid parental leave, and robust insurance coverage.

Qualifications

• 2+ years of experience in ML infra, ML Ops, or a similar skill set.
• Experience managing distributed systems with Kubernetes.
• Cloud Platform (AWS) knowledge including EKS and managed ML services.

Responsibilities

• Iterate on ML processes to develop robust ML workflow tools.
• Work closely with ML engineers to identify pain points.
• Provide resources and training on best practices for ML teams.

Skills

Experience in ML infra

Kubernetes management

Cloud Platform (AWS) Knowledge

Python proficiency

Distributed computing frameworks

Software engineering best practices

Debugging distributed systems

Communication skills

Curiosity and eagerness to learn

Tools

Python

Bash

LangGraph

PyTorch

Ray

Amazon EKS

Airflow

Jsonnet

Terraform

Git

GitHub

Sentry

Prometheus

W&B

Job description

S&P Global, Inc. is looking for a candidate to join Kensho as a ML Engineer. This role focuses on enhancing the Machine Learning processes, developing tools, and provides training on effective ML practices. Ideal candidates should have 2+ years of experience related to Machine Learning infrastructure and demonstrate proficiency in Python, Kubernetes, and AWS.

We offer a competitive salary of $130,000–$175,000 along with a range of benefits including unlimited PTO, paid parental leave, and robust insurance coverage.