# MLOps Engineer

**Company**: Kensho
**Location**: Cambridge, MA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: 120k-140k
**Category**: Engineering
**Industry**: Technology

**Apply**: https://spgi.wd5.myworkdayjobs.com/en-US/SPGI_Careers/job/Cambridge-MA/ML-Ops-Engineer-II_330647-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_86b2bc58-33e

## Description

Kensho is seeking an MLOps Engineer to join their team. As an MLOps Engineer, you will be responsible for building and supporting a mature ML platform, empowering ML engineers with state-of-the-art processes, tooling, and infrastructure to iterate quickly, build reliably, and identify potential production issues early.

You will work closely with ML engineers to understand their unique processes, identify pain points, and form effective solutions. You will also evaluate, select, and champion open-source and third-party solutions, driving their adoption across teams and integrating into Kensho's existing platform ecosystem.

Key responsibilities include:

- Iterating on Kensho's ML processes to develop tools, services, and frameworks that make every stage of the ML workflow robust, auditable, and usable.

- Working closely with ML engineers to understand their unique processes, identify pain points, and form effective solutions.

- Empowering engineers with the stable tooling necessary to rapidly experiment and actualize their research into demonstrable prototypes and mature products.

- Evaluating, selecting, and championing open-source and third-party solutions, driving their adoption across teams and integrating into Kensho's existing platform ecosystem.

- Shipping scalable, efficient, and automated processes for model fine-tuning and reinforcement learning and for the evaluation of LLMs/Agents.

- Improving LLM and Agentic observability to help monitor agentic applications in production, detecting performance, decay, and drift issues.

Requirements:

- 1+ years of experience in ML infra, ML Ops, ML Engineering or some similar skillset.

- Experience with Kubernetes.

- Cloud Platform (AWS) understanding.

- Python proficiency.

- Familiarity with distributed computing frameworks and workflow orchestration.

- 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.

Nice to have:

- Experience with agentic AI systems, tools, frameworks, and workflows.

- MCP server patterns.

- Eval pipelines.

Kensho offers a range of benefits, including:

- Medical, Dental, and Vision insurance.

- 100% company-paid premiums.

- Unlimited Paid Time Off.

- 26 weeks of 100% paid Parental Leave.

- 401(k) plan with 6% employer matching.

- Generous company matching on donations to non-profit charities.

- Up to $20,000 tuition assistance toward degree programs.

- Plentiful snacks, drinks, and regularly catered lunches.

- Dog-friendly office.

- Bike sharing program memberships.

- Compassion leave and elder care leave.

- Mentoring and additional learning opportunities.

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## Skills

### Required
- Kubernetes
- AWS
- Python
- distributed computing frameworks
- workflow orchestration
- software engineering best practices
- ML concepts
- LLMs
- agents
- debugging distributed systems
- communication skills

### Nice to have
- agentic AI systems
- MCP server patterns
- eval pipelines

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Source: [Apply at spgi.wd5.myworkdayjobs.com](https://spgi.wd5.myworkdayjobs.com/en-US/SPGI_Careers/job/Cambridge-MA/ML-Ops-Engineer-II_330647-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)