MLOps Engineer I — Build Scalable AI Tools & Platform

Kensho Technologies; Cambridge (MA); 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

26 weeks of paid Parental Leave

401(k) plan with 6% employer matching

Tuition assistance for degree programs

Donations matching to charities

Snacks, drinks, and catered lunches

Dog-friendly office

Bike sharing program

Job summary

Kensho Technologies, headquartered in Cambridge, MA, is seeking an MLOps Engineer to empower ML engineers with state-of-the-art tooling, workflows, and infrastructure. You will iterate across ML processes, build scalable pipelines, and collaborate with multiple teams to deliver production-ready models and agents.

The role emphasizes rapid experimentation, observability, and keeping pace with new platforms. Kensho offers top-tier benefits, equity, and a competitive base salary in a dynamic,

Qualifications

• 1+ years in ML infra, ML Ops, or ML engineering.
• Experience with Kubernetes.
• AWS cloud platform understanding (EKS, SageMaker, Bedrock).
• Python proficiency (Python shop).
• Familiar with Ray or Airflow.
• Solid software engineering practices in ML.

Responsibilities

• Iterate on ML processes to build tools and frameworks.
• Work with ML engineers to identify pain points and solutions.
• Provide stable tooling to accelerate experimentation.
• Evaluate and adopt open source and third-party solutions.
• Ship scalable automation for model fine-tuning and RL/LLMs.
• Improve observability of agentic systems in production.
• Stay current with emerging tools and promote best practices.

Skills

ML infra

Kubernetes

AWS

Python

Ray

Airflow

ML engineering

Tools

Git

LangFuse

Sentry

Prometheus

W&B

Terraform

Job description

Kensho Technologies, headquartered in Cambridge, MA, is seeking an MLOps Engineer to empower ML engineers with state-of-the-art tooling, workflows, and infrastructure. You will iterate across ML processes, build scalable pipelines, and collaborate with multiple teams to deliver production-ready models and agents.

The role emphasizes rapid experimentation, observability, and keeping pace with new platforms. Kensho offers top-tier benefits, equity, and a competitive base salary in a dynamic,