Job Title:
Data Engineering Lead
This position requires a leader to drive the development of innovative software tools using cutting-edge technologies. The successful candidate will oversee the architecture and ensure it is continuously improved, evaluating emerging technologies and trends.
* The role involves leading the development of software solutions that support critical operations such as release management, source code management, CI/CD pipelines, automation, and serving ML models to production environments.
* A full end-to-end lifecycle governance framework must be established to monitor, refresh, and perform models at optimal levels over time.
* Collaboration with key stakeholders across various business functions is essential to develop and prioritize a strategic Data Science DevOps roadmap.
* Mentoring and coaching team members in advanced MLOps practices is also required.
Key Skills Required:
* Advanced degree in a relevant technical field or 5+ years' experience in a relevant role.
* Solid understanding of DevOps practices and cloud computing services like AWS.
* Expertise in containerisation technologies, software engineering practices, and version control.
* Experience with Infrastructure as Code best practices and GenAI tools seen as a plus.
* Knowledge of agile project management and cross-function projects.