Description
Responsibilities
● Lead the development of core AI/ML models and algorithms that drive key product use cases
● Actively participate in cross-functional discussions and strategic decisions related to AI research directions and product roadmaps.
● Collaborate with fellow technical leaders to ensure the successful and timely delivery of AI/ML models and service integration.
● Stay up to date with the latest research and developments in the field of AI/ML, and ensure that these advancements are properly incorporated into our technology roadmap.
● Develop production code and advocate for the best coding and engineering practices.
● Participate and influence full lifecycle development from ideation and data exploration to deployment, monitor, and optimize AI/ML models in production
● Participate in project planning, review, and retrospective sessions.
● Identify and mitigate risks in our plans and executions, especially at the intersection of business and engineering
● Collaborate with other data teams to improve our data infrastructure, including models, visualizations, and experimentation capabilities.
● Demonstrated experience in leading impactful AI product development at scale.
Qualifications
● 10 or more years of ML and software experience
● Excellent problem-solving skills and ability to dive into evaluation metrics, model architecture, code, test plans, project plans, deployments and operations
● Expertise with ML pipelines, algorithms, statistical methods, and analytics to solve real-world engineering problems
● Proficient in SQL, Python, Java, PySpark, and experienced with Snowflake, AWS SageMaker, DBT, and Airflow
● Experience building and maintaining fault-tolerant, high-performing data pipelines and ensuring seamless AI/ML algorithm execution in production
● Strong communicator who simplifies complex problems and develops impactful, creative solutions
● Ability to explain deep technical decisions and implementation to leadership and less technical partners