Duties: Define and lead the strategic roadmap for the Machine Learning Engineering team, aligning with broader organizational goals; Recruit, build, and lead a high-performing team of Machine Learning Engineers and Scientists; Establish and maintain engineering best practices for ML model development, deployment, and operation (MLOps); Oversee the design, development, and deployment of production-grade ML solutions across various business domains; Collaborate with data scientists, product managers, and other stakeholders to understand business needs and translate them into technical requirements
Requirements: Master's degree in Computer Science, Data Science, or related field (PhD preferred); 10+ years of experience in leading and managing software engineering teams; 5+ years of experience working with machine learning scientists and engineering and deploying models to production; Proven track record of successfully delivering impactful ML solutions within a business context; Strong understanding of the ML engineering lifecycle, including model development, deployment, monitoring, and governance