Head of Machine Learning Operations
CarTrawler
full-time
Posted on:
Location Type: Hybrid
Location: Dublin • Ireland
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Job Level
About the role
- 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
- Lead the development of tools/services that support critical operations such as release management, source code management, CI/CD pipelines, automation, serving ML models to production environments and many other key operations while also overseeing the integration of these solutions into our broader technology ecosystem.
- Champion ML model-governance by establishing full end-to-end lifecycle governance framework to ensure models are monitored, refreshed and performing at optimal levels over time.
- Collaborate closely with key stakeholders across various business functions, including Product & Technology (P&T), IT, and Developer Experience (DX) teams, to develop and prioritize a strategic Data Science DevOps roadmap that aligns with organizational objectives and drives innovation.
- Mentor and coach team members, providing guidance, support, and expertise on advanced MLOps practices, while also serving as a point of escalation for complex technical challenges and issues
- 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.
Requirements
- 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.
- Expertise in writing unit tests and developing integration tests to ensure quality of the product
- Experience and knowledge of Infrastructure as Code best practices
- Experience in developing GenAI tools seen as a plus point
- Knowledge of leading cross-function projects and R&D projects
- Knowledge of agile project management
- Ability to communicate complex tools and technologies in a clear, precise, and actionable manner, both verbally and in presentation format, to a broad variety of functional leaders.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
MLOpsPythonDevOpsContainerizationAWSGoogle CloudCI/CDInfrastructure as CodeSoftware engineering practicesGenAI tools
Soft Skills
leadershipcoachingcommunicationstrategic advisingmentoringcollaborationproblem-solvinginnovationcontinuous learningteam management