Responsibilities:

• Lead and manage a team of machine learning engineers, providing guidance, support, and training to foster professional growth and enhance team performance.

• Oversee the development, productionalization, and deployment of machine learning models, ensuring alignment with project goals and stakeholder requirements.

• Formulate and implement the AI/ML engineering strategy, ensuring it aligns with business goals and technology vision. Supervise the design, development, and deployment of AI/ML models and systems, ensuring they meet performance, scalability, and security standards.

• Collaborate with data science teams to understand data requirements, translating them into machine learning specifications and guiding the team in efficient model development.

• Monitor and optimize existing machine learning pipelines in production, diagnosing and resolving data inconsistenc...