AI Engineering Manager

November 12

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Ford Motor Company

WebsiteLinkedInAll Job Openings

Automotive • Financial Services • Mobility

10,000+

💰 Post-IPO Debt on 2023-08

Description

• Ford Pro is a new global business within Ford committed to commercial customer productivity. • This is an exciting opportunity to be part of a team that will be instrumental in crafting the future of how we do business. • As the AI Lead Engineer, you should have a strong technical background and demonstrated experience in Data Science , MLOps and AI/ML Engineering. • You will be responsible for the delivery of analytical models and solutions as well as use your business acumen, knowledge of data, and AI to support key products within Pro Tech that focus on improving customer experience, increasing revenue, and improving efficiency across the business. • You will be responsible for coaching and providing growth opportunities to direct reports.

Requirements

• Bachelor’s Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT or a combination of education and experience • 4+ years of experience acting as the senior technical lead helping facilitate analytical/technical discussions on solution tradeoffs for new feature implementations. • 3+ years of experience of analytical methods and their proper application • 3+ years of experience using AI/ML, data science software (e.g., Python-based tools) • 2+ years leading and managing direct reports. • Experience in leading, hiring and growing Data Science teams. • Experience using Cloud Platforms and AI Platforms. • Experience using Gen AI technologies. • PhD Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) • Expert level of Advanced and Predictive Analytical Methods e.g., Simulation, Design of Experiments, Genetic Algorithms, Ensemble Methods, Naïve Bayes, Neural Networks, regression, image processing, natural language processing, • 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, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more • Vehicle discount program for employees and family members and management leases • Tuition assistance • Established and active employee resource groups • Paid time off for individual and team community service • A generous schedule of paid holidays, including the week between Christmas and New Year’s Day • Paid time off and the option to purchase additional vacation time.