ML & Data Science Eng Manager

Join Fords mission to revolutionize automotive manufacturing through innovative intelligent software. As a Full Stack Software Engineer youll be at the intersection of the digital and physicaldeveloping cutting-edge applications that bring data automation and intelligence to the factory floor. Youll help build the platforms that power our plants enabling real-time insights and resilient operations that scale with the future of mobility.

This is a great opportunity to drive the delivery of a key enterprise objective in building Fords flagship products bring Innovation in Manufacturing to have significant business impact.
You will spearhead Fords transformation of manufacturing by building the intelligent backbone that will power our factories of the future. As the Engineering Manager for Data Science you will establish and lead a new specialized team in Mexico dedicated to creating AI-native infrastructure and processes within our Manufacturing IT ecosystem. Your mission is to harness the power of predictive modeling machine learning and real-time data to solve complex manufacturing challenges drive efficiency and ensure the quality of our iconic vehicles.

This is a rare opportunity to lead a team that will put its signature on the future of how Ford manufactures vehicles.

Ford is transforming how vehicles are builtfrom traditional assembly lines to digitally connected intelligent manufacturing systems. At the core of this transformation is software: enabling smarter decisions predictive maintenance real-time process optimization and seamless data flow between machines people and the cloud.

Our teams build modern scalable applications that blend industrial systems with cloud-native architecture unlocking value from data streams at the edge to analytics in the cloud. Whether its reducing downtime improving quality or accelerating new vehicle launch readiness we develop the tools that drive Fords global operations forward.

What youll do

• Lead and Mentor:Recruit hire and develop a high-performing team of AI/ML and Data Science Engineers. Foster a culture of technical excellence innovation and continuous learning.
• Define Technical Strategy:Architect and drive the roadmap for building AI-native infrastructure platforms and processes tailored for the manufacturing environment.
• Oversee Model Development & Deployment:Guide the end-to-end lifecycle of machine learning projectsfrom data acquisition and feature engineering to model training validation and deployment of predictive models and anomaly detection systems in production.
• Champion MLOps:Implement and evangelize best practices for MLOps to ensure the scalability reliability and continuous improvement of our machine learning systems.
• Drive Business Impact:Collaborate closely with manufacturing operations leaders plant floor engineers and IT partners to identify high-value use cases and translate business needs into tangible AI-driven solutions.
• Ensure Technical Excellence:Set and maintain high standards for code quality system performance and scientific rigor across all data science and machine learning projects.
• Manage Execution:Lead the team using agile methodologies to deliver projects on time ensuring clear communication with all stakeholders and managing priorities effectively in a dynamic environment.

Youll Have

• A Bachelors degree in Computer Science Statistics Engineering or a related quantitative field.
• 3 years of formal leadership experience managing and mentoring technical teams in a data science or software engineering capacity.
• 5 years of hands-on experience in data science and machine learning with deep expertise in predictive modeling classification and unsupervised learning techniques (like anomaly detection).
• Proven experience building and deploying machine learning models into production environments.
• Strong proficiency in Python and common data science/ML libraries (e.g. Scikit-learn TensorFlow PyTorch Pandas).
• Experience with cloud computing platforms (e.g. GCP Azure or AWS) and their associated AI/ML services.
• Excellent problem-solving skills and the ability to navigate complex ambiguous challenges.
• Fluency in both English and Spanish with strong verbal and written communication skills.

Even better if you have

• A Masters degree or PhD in a relevant technical field.
• Experience in a manufacturing industrial automation or IoT environment.
• Deep knowledge of MLOps principles and experience with related tools (e.g. Kubeflow MLflow Seldon Core).
• Experience with real-time data streaming technologies (e.g. Kafka Flink) and time-series analysis.
• Familiarity with containerization and orchestration technologies (e.g. Docker Kubernetes).
• A strong portfolio of deployed AI/ML projects that have delivered measurable business value.

Ford Motor Company is an Equal Opportunity Employer as we are committedwith a diverse workforce and do not discriminate against any employee or applicant
for employment because of race color sex age national origin religion sexualorientation gender identity and/or expression status as a veteran and basis of disability.