AI Platform Lead

Job Description

Job purpose: The AI Platform Lead is responsible for overseeing and driving the evolution and operational excellence of the AI Platform with Company. This role will manage key systems such as Dataiku, Azure ML and Azure AI Services, ensuring they deliver scalable, robust, and innovative solutions to support enterprise initiatives. The successful candidate will combine technical expertise with effective leadership to foster an environment of continuous improvement and collaboration. Reporting lines and interactions: Operationally reports: Head of Data and Platforms Main stakeholders and interactions: Head of AI & Automation Hub BI / AI Platforms Manager Business Users and requestors Data & Solution architects Job scope: Key Responsibilities Platform Management : Supervise Platforms operations, maintenance of Dataiku and Azure components. Ensure high availability, performance, and scalability of different AI services. Suggest architecture evolutions to enhance system efficiency and accommodate business strategy Cloud Infrastructure Supervision : Oversee the maintenance and optimization of the Azure cloud infrastructure, ensuring robust security, reliability, and scalability. Supervise the AI platform's performance, implementing proactive measures to prevent downtime in the services and ensure seamless operation. Collaborate with cross-functional teams to align infrastructure improvements with business goals and technological advancements. Operational Excellence : Establish and enforce best practices, governance policies, and security standards across all AI operations. Monitor platform usage, performance metrics, and cost-effectiveness to drive continuous improvement. Evaluation of Emerging AI Services : Continuously review and assess new AI services and technologies that may be required for future projects. Ensure the integration of innovative solutions to enhance the platform's capabilities and support evolving business needs. Team Leadership & Collaboration : Guide a diverse team comprising DevOps, Dataiku Administrators, MLOps specialists, analysts and Run Team. Cultivate a cooperative atmosphere that promotes innovation and the sharing of ideas. Budget and Cost Management : Handle budgeting and cost management for AI Platform, ensuring efficient resource allocation and adherence to budget constraints. Reporting : Provide regular updates to the Head of Data and Platforms on Platform status, risks, and resource needs. Profile: Requirements: - Proven track record with more than 5 years of experience in AI/ML platform management or similar roles - Strong knowledge of machine learning, data analytics, and cloud computing - Extensive hands-on experience with technologies such as Dataiku, Azure ML, Azure AI Foundry, and related systems - Well-versed in agile methodologies, DevOps practices, and CI/CD pipeline management - Ability to manage multiple priorities in a fast-paced, dynamic environment - Skilled in leading cross-functional teams and executing large-scale technology initiatives - Skills and experience in Agile methodologies is a plus Additional attributes: - A proactive mindset with a focus on leveraging AI to drive business value - Experience with budget oversight and resource allocation - Knowledge of software development lifecycle and agile methodologies Work experience: Minimum of 5 years in AI/ML Platform management or related fields Minimum education level: Advanced degree (Masters or PhD preferred) in Computer Science, Data Science, Engineering, or a related field.