HybridFull time

Senior Machine Learning Engineer (Ops) - WorkHuman GenAI

Do you like to keep systems humming and services up and running smoothly, no matter how much data is packed into it? Workhuman are building a team for an exciting new AI project. The details are obviously under wraps but they need a ML Ops Engineer to keep infrastructure alive and well, in the most optimal way possible.

You will be liaising with Data Science teams, ICs, and stakeholders.

nineDots are exclusively working with WorkHuman to hire a fleet of Gen AI oriented engineers for an exciting and secret new project.

So who are Workhuman?

As the leading global provider of technology solutions, analytics, expertise, and services helping organizations of all sizes build and foster workplace cultures powered by employee recognition and crowdsourced feedback, Workhuman is revolutionizing the way employees celebrate, connect with, and appreciate each other.

In the past 20 years, their products may have changed, but their mission hasn't. They exist to help companies harness the power of their most valuable assets – their people. And when they partner with companies to build winning cultures, the gains they can realize extend far beyond the balance sheet.

Say hello to the human workplace.

Day to day:

Deploying machine learning models into prod and ensuring they’re scalable and secure.

Setting up and maintaining AWS infrastructure, often using services like AWS (e.g., ECS Fargate, SageMaker).

Developing and managing CI/CD pipelines

Continuously monitoring the performance of ML models in production.

Working closely with data scientists and the rest of the Data team to make sure everything is running smoothly.

Skills:

8+ years of experience in DevOps, SRE, or related job using AWS

Hands-on experience with machine learning systems, model deployment, and a deep understanding of machine learning models.

Strong Python coding skills

Experience working with large amounts of constantly changing data.

Experience building reliable, maintainable, testable, and observable software.

Knowledge of and interest in Generative AI

If interested, get in touch with Rose on rose@ninedots.io.

This is a hybrid role with 2 day per week in the Park West office.

4 rounds of interview, including a take-home technical assessment (about 2 hours long).

Work permit sponsorship is not available for this position - you will need either EU passport, Stamp 4, or Stamp 1G

Get notified about your perfect job

Send us your CV and we'll message you when we find a good match.

upload CV