Senior Engineer - ML Ops

To play a key supporting role in shaping the overall MLOps strategy & capabilities at Core42.

Responsibilities

• Reporting to the Director of Data and ML Engineering you will be responsible for building the foundation of our MLOps capabilities, working closely with Data Scientists, Data Engineers and multiple Technology Service departments to manage the end-to-end ML lifecycle including automation of machine learning workflows, code deployments, testing, and data validation processes.
• Design, implement, and manage CI/CD pipelines tailored for machine learning workflows.
• Collaborate with data scientists and software engineers to optimize the automation process for training, validating, and deploying machine learning models.
• Continuously monitor the performance and reliability of CI/CD pipelines and make adjustments as necessary.
• Develop & maintain the infrastructure & tools that facilitate the deployment and monitoring of our ML algorithms in production.

Qualifications

• 10+ years experience in setting up and maintaining CI/CD pipelines, preferably in a machine learning context.
• Strong understanding of containerization and orchestration tools such as Docker and Kubernetes.
• Proficient in scripting languages such as Python, Bash, or Shell for automation tasks.