About the role
AI summarisedThe Head of AI Engineering leads the AI engineering team, driving the development and deployment of AI models and systems. This role involves strategic planning, team management, and collaboration with cross-functional teams to deliver AI solutions.
BusinessFull-timeGeneral
Key Responsibilities
- Lead and manage the AI engineering team, including hiring, mentoring, and performance management.
- Define and execute the AI engineering roadmap aligned with business objectives.
- Design and architect scalable AI systems and infrastructure.
- Oversee the development, testing, and deployment of machine learning models.
- Collaborate with product, data, and business teams to identify AI opportunities.
- Establish best practices for model development, deployment, monitoring, and governance.
- Drive innovation by exploring and adopting new AI technologies and methodologies.
- Ensure compliance with data privacy, security, and ethical AI standards.
Requirements
- Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related field.
- 10+ years of experience in software engineering, with at least 5 years in AI/ML.
- Proven experience leading and scaling AI engineering teams.
- Deep expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and MLOps.
- Strong programming skills in Python, with experience in distributed systems.
- Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
- Excellent communication and leadership skills.
- Ability to translate business requirements into technical solutions.