• Develop and implement strategic plans for the Data Science Engineering function, aligning with the organization’s objectives.
• Lead a team of machine learning engineers to design, build, and operationalize scalable AI/ML solutions in collaboration with data scientists, product managers, and business stakeholders.
• Establish and evolve MLOps practices, including CI/CD pipelines, model deployment, monitoring, and lifecycle management for both traditional ML and generative AI systems.
• Architect and oversee scalable, secure, and reliable infrastructure for model training, inference, and serving on cloud platforms.
• Drive engineering best practices include code quality, automated testing, observability, reproducibility, and responsible AI principles.
• Partner with IT, platform, and data engineering teams to integrate AI/ML solutions into enterprise systems and workflows.
• Ensure policies and procedures align with the corporate vision, regulatory requirements, and industry best practices.
• Foster effective communication and collaboration within the team, stakeholders, and management.
• Recruit, develop, and evaluate personnel to ensure the efficient operation of the Data Science Engineering team.
• Serve as a liaison and support effective communication and strategy between the team and stakeholders.
• Oversee the budget and operations of the function, ensuring efficient resource allocation and alignment with goals.