AI Engineering Manager

Ford - Boston, MA

Full-time - Mid Level

Boston, MA

Transportation Equipment Manufacturing

About the position

As the AI Lead Engineer at Ford Pro, you will play a pivotal role in delivering analytical models and solutions that enhance customer experience and drive business efficiency. This position requires a strong technical background in Data Science, MLOps, and AI/ML Engineering, along with the ability to coach and develop direct reports. You will collaborate with business stakeholders to address challenges using AI/ML and advanced analytics, while also leading the development of AI products and services within the organization.

Responsibilities

• Collaborate with business customers to understand challenges and develop AI/ML strategies.
• Define and communicate product vision and delivery with stakeholders.
• Measure success of product efforts through goal setting and monitoring key metrics.
• Support technical reviews of analytical methods and AI solutions.
• Prioritize advanced analytic research to enhance product capabilities.
• Lead the development of analytical solutions and grow the AI Engineering practice.
• Drive AI products and services end-to-end in partnership with cross-functional teams.
• Influence product direction through presentations to leadership.
• Contribute to advancing AI Engineering and Data Science disciplines through community practices.
• Promote learning and development needs of the team.

Requirements

• Bachelor's Degree in a related field (e.g., Data Science, Predictive Analytics, Statistics).
• 4+ years of experience as a senior technical lead in analytical discussions.
• 3+ years of experience with analytical methods and their application.
• 3+ years of experience using AI/ML and data science software (e.g., Python-based tools).
• 2+ years of experience leading and managing direct reports.
• Experience in leading, hiring, and growing Data Science teams.
• Experience using Cloud Platforms and AI Platforms.
• Experience with Gen AI technologies.

Nice-to-haves

• PhD Degree in a related field (e.g., Data Science, Machine Learning).
• Expert level of Advanced and Predictive Analytical Methods.
• Working knowledge of GCP.
• Expertise in open source data science technologies such as Python, R, Spark, SQL.

Benefits

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days and paid parental leave
• Family building benefits including adoption and surrogacy reimbursement
• Vehicle discount program for employees and family members
• Tuition assistance
• Established employee resource groups
• Paid time off for community service
• Generous paid holidays including the week between Christmas and New Year's Day
• Paid time off with the option to purchase additional vacation time.