Senior MLOps Specialist, Oxa

• Bachelor's or Master's degree in STEM subject with a focus on software engineering or equivalent experience
• Deep understanding of software development practices
• Experience designing python APIs
• Experience working with ML engineers and data scientists or a basic understanding of ML principles and frameworks
• Cloud platform experience
• Approachable and able to play an intra- and inter-team supporting role
• Excellent listening skills and proven experience of seeking feedback from internal or external stakeholders to improve technical solutions
• Hands-on experience using typical DevOps technologies e.g. linux, python, bash, docker, kubernetes, jenkins

Desirable

• As an MLOps Specialist you will be responsible for designing and building cloud solutions to support the activities of machine learning engineers across the company
• You will build tools and APIs to support ML teams in every stage of their ML workflows
• You will champion automation of the entire ML lifecycle, covering data ingestion, model development, model training, model management, deployment, serving and monitoring
• On a day to day basis you will prototype tools and APIs to allow ML specialist to access cloud based infrastructure developed by your MLOps colleagues, iterating towards a production-ready service
• In developing solutions you will carefully consider the skillset of the end user and design and document tools accordingly
• ML team members will come to you as the authority regarding MLOps best practices and you will provide training in the use of in-house and third-party MLOps tools
• In addition to supporting ML teams with their custom MLOps requirements, you will form part of the MLOps platform team and contribute core infrastructure