ML Engineering Leader — Lead Production AI & Teams
Kingfisher
United States
Hybrid
USD 120,000 - 160,000
Full time
14 days+
Application generator
Turn this role into an interview — a resume and cover letter built around what this employer wants.
Get past ATS filters
Benefits offered by this job
Competitive benefits package
Opportunities for career growth
Job summary
A leading home improvement retailer is seeking a Machine Learning Engineering Manager to lead AI projects and enhance product offerings. This role involves overseeing diverse teams and managing the full Machine Learning lifecycle, from development to deployment. The ideal candidate has a strong leadership background, excellent stakeholder management skills, and a solid understanding of Machine Learning methods and tools like SQL and Python. Join a dynamic team committed to innovation and customer satisfaction in a hybrid work environment.
Qualifications
Experience building and mentoring Machine Learning teams.
Proficient in SQL and Python, familiar with data ecosystems.
Understanding of Machine Learning lifecycle and deployment.
Responsibilities
Lead delivery of major AI projects.
Oversee teams across various business domains.
Build diverse teams for effective collaboration.
Skills
Strong leadership experience
Stakeholder management
Computer science fundamentals
Classical and modern Machine Learning methods
SQL and Python proficiency
Generative AI knowledge
MLOps principles
CI/CD experience
Strong communication skills
Job description
A leading home improvement retailer is seeking a Machine Learning Engineering Manager to lead AI projects and enhance product offerings. This role involves overseeing diverse teams and managing the full Machine Learning lifecycle, from development to deployment. The ideal candidate has a strong leadership background, excellent stakeholder management skills, and a solid understanding of Machine Learning methods and tools like SQL and Python. Join a dynamic team committed to innovation and customer satisfaction in a hybrid work environment.