Senior MLOps Engineer - Founding Team, Hyperscale Start Up

My client is the most exciting business operating in AI today. They have recently secured a record level in funding from household, global industry players, and are now setting their sights on scaling their teams.

They are searching for an MLOps Engineer to be a part of their founding team, who will go on to revolutionize how companies use and leverage data, leading to extraordinary possibilities for analytics across a variety of industries.

Their team is made up of best-in-class AI specialists, meaning you will be surrounded by ambitious and passionate professionals where you can and will learn, develop your skills, while contributing with your skills and expertise.

Your Responsibilities:

• Create scalable and automated ML pipelines
• Closely document progress on the model to continuously develop new solutions
• Safeguard model deployment by executing testing
• Build scalable and enhanced architectures
• Model, implement, and sustain data pipelines and storage to process large volumes of data

Your Skills

• Master's Degree or PhD in Computer Science, Engineering, or a similar field
• Multiple years of experience as a Machine Learning Operations Engineer/MLOps Engineer
• Strong experience with MLOps platforms and frameworks
• Proficient knowledge of model frameworks and developing data pipelines
• Expert cloud experience (AWS, GCP), DevOps topics (Kubernetes), and infrastructure (Terraform, etc)
• Familiarity with software engineering/development skills, such as Python

This is a truly unique opportunity to be an influential member of a cutting-edge and disruptive team that will go on to change the industry. They have already made a significant impact and are using this as a step to achieving their vision. You will be excited about their passion and the project, so if you would like to get to know more APPLY NOW!