Role Purpose:

· Drive the overall MLOps strategy along with other members of the Data Science & Insights (DS&I) team, while also collaborating with senior leadership to align strategies with broader organizational goals and objectives.

· Lead the development of innovative software tools to service both our Data Science solutions and wider business operations using relevant cutting-edge technologies (e.g. AWS, Git, Docker, Kubernetes, Jenkins)

· Ensure the architecture is continuously improved and evaluate emerging technologies and trends to maintain a competitive edge in the market

· Act as a strategic advisor to senior leadership, providing insights, recommendations, and strategic direction on Data Science MLOps initiatives, while also championing a culture of continuous learning, growth, and innovation within the organization.

Experiene Required:

• M.S. or Ph.D. in a relevant technical field, or 5+ years’ experience in a relevant role.
• Solid understanding of DevOps practices or full-stack software engineering in general
• Some experience of leading a team or keen interest in becoming a People Manager along with strong ability to coach high-performing DevOps Engineers
• Expertise in writing production-level Python code
• Expertise in cloud computing service like AWS, Google Cloud, etc.
• Expertise in Containerisation technologies like Docker, Kubernetes, etc.
• Expertise in software engineering practices: design pattern, data structure, object oriented programming, version control, QA, logging & monitoring, etc.