Cloud Engineer

Job Description

Job Description - Roles and Responsibilities

As a Cloud (ML)Ops Engineer, you’ll work at the intersection of cloud infrastructure, DevOps, and machine learning operations. Together with your team, you’ll help build a reliable, scalable, and secure platform that supports data scientists and analysts throughout their entire workflow.

This includes :

• hosting a multi-user Jupyter environment and a cloud IDE;
• providing frameworks for training, storing, serving, and monitoring custom models, primarily for high throughput batch processing;
• exposing models via APIs for low latency request-response use cases;
• enabling Generative AI initiatives.

Your responsibilities include :

What do we expect from you?

You have a strong interest in cloud, data and AI, and eager to learn about new developments in the field.

Technical skills :

o Proficient in Python and the broader data science ecosystem.

o Experience with cloud infrastructure (preferably AWS).

o Familiar with Docker and Kubernetes.

o Skilled in infrastructure as code (Terraform).

o Experience with CI / CD tools like Jenkins or GitHub Actions.

o Knowledge of big data tools such as Spark.