Lead, mentor and manage a team of data scientists, machine learning engineers, and researchers
Define OKRs and roadmaps for the team aligned with business goals
Oversee the end-to-end development of machine learning models and data products, ensuring high quality standards
Stay up-to-date on advances in AI/ML and lead integration of appropriate new technologies
Implement processes for rigorous testing, validation and monitoring of machine learning models
Identify and facilitate professional growth and skill development within the team
Provide technical guidance to the team and set standards for innovation
Balance delivery of rapid value with investment in innovative but high-impact solutions
Collaborate cross-functionally with business, product, and engineering teams to identify and execute on AI/ML opportunities
Manage workloads and provide prioritization guidance to optimize efficiency
Establish success metrics and regularly report progress to executives
PhD/Master s in Computer Science, Data Science or related field preferred
8+ years relevant data science experience with at least 3 years in a team lead role
Extensive experience developing, deploying, and managing machine learning models in production
Deep knowledge of machine learning algorithms, model development, and deployment. You should be well-versed in various ML frameworks and libraries. Understanding of LLMs is a plus.
Demonstrated ability to lead and machine learning teams, fostering a collaborative and innovative work culture.
Strong track record of delivering business value via applied AI/ML
Proficiency in Python and frameworks like TensorFlow/PyTorch
Superb communication, strategic thinking and problem solving skills
