Sr Manager, AI Engineering

Ford - Trenton, NJ

Full-time - Senior

Trenton, NJ

Transportation Equipment Manufacturing

About the position

Ford Pro is a new global business within Ford committed to enhancing commercial customer productivity. This initiative delivers a comprehensive suite of vehicles, accessories, and services tailored for various vocations, all supported by cutting-edge technology designed for maximum uptime. As a one-stop shop, Ford Pro offers a full portfolio of both electrified and internal combustion vehicles that seamlessly integrate into the Ford Pro ecosystem, empowering customers' businesses to thrive in the current landscape and the forthcoming era of electrification. In the role of Senior Manager, AI Engineering, you will leverage your strong technical background and proven experience in Data Science, MLOps, and AI/ML Engineering. Your primary responsibility will be to deliver analytical models and solutions while utilizing your business acumen and knowledge of data and AI to support key products within Pro Tech. These products are focused on enhancing customer experience, boosting revenue, and improving operational efficiency across the business. You will play a crucial role in coaching and providing growth opportunities for your direct reports, fostering a culture of development and learning. Building healthy relationships and trust with business stakeholders and peers across Ford Pro-Tech will be essential to your success in this position. Your strategic thinking and leadership will be vital as you collaborate with business customers to understand their challenges and develop effective strategies using AI and advanced analytics. You will also help define and communicate the product vision and delivery with key stakeholders, ensuring that the success of product efforts is measured through goal setting, forecasting, and monitoring key product metrics to identify trends. In terms of technical leadership, you will support technical reviews of analytical methods and AI solutions, prioritize advanced analytic research to enhance product capabilities, and provide hands-on leadership in developing AI solutions. Your delivery focus will involve driving AI products and services from inception to completion in partnership with Product, Engineering, and cross-functional teams, influencing product direction through compelling presentations to leadership. Additionally, you will contribute to the advancement of the AI Engineering skill team within Ford Pro through the Community of Practice, driving data best practices, improving analytical processes, scaling knowledge and tools, and mentoring other data scientists. Promoting and facilitating the learning and development needs of your team will be a key aspect of your role, as will supporting team members as part of the product delivery model.

Responsibilities

• Collaborate with business customers to understand business challenges and develop strategies for solving them using AI and advanced analytics.
• Help define and communicate product vision and delivery with key stakeholders.
• Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
• Support technical reviews of analytical methods & AI solutions.
• Support the prioritization of advanced analytic research needed to advance the product's capabilities.
• Hands-on leadership of developing AI solutions.
• Establish and grow the AI Engineering skill team.
• Drive AI products and services end-to-end in partnership with Product, Engineering, and cross-functional teams.
• Influence product direction through clear and compelling presentations to leadership.
• Contribute towards advancing the AI Engineering skill team in Ford Pro through the Community of Practice.
• Promote and facilitate learning and development needs of the team.
• Support team members as part of the product delivery model.

Requirements

• Strong technical background in Data Science, MLOps, and AI/ML Engineering.
• Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow.
• Strong understanding of AI & machine learning algorithms, techniques, and frameworks, including deep learning, neural networks, and ensemble methods.
• Experience with building and training machine learning models using tools like TensorFlow, Keras, or PyTorch.
• Familiarity with cloud-based data storage and processing technologies for handling large datasets efficiently.
• Ability to design and implement end-to-end machine learning pipelines for data ingestion, processing, modeling, and deployment.
• Proficiency in programming languages such as Python for data manipulation, analysis, and model development.
• Experience with version control systems like Git for managing code repositories and collaboration.
• Understanding of containerization technologies like Docker for packaging machine learning models and deploying them in production.
• Strong problem-solving skills and analytical thinking.
• Ability to communicate complex technical concepts effectively.
• Experience with Gen AI, RAG, NLP.

Nice-to-haves

• Strong in Software Engineering practices.