Machine Learning Manager leading experienced team to drive data-driven AI/ML solutions at Ford. Overseeing strategies for product development focused on analytics in various domains.
Responsibilities
Provide expert technical guidance and mentorship to data scientists & software engineers in the product team.
Lead, mentor, and develop a high-performing team, fostering best practices in software development and data science.
Contribute to the development and implementation of the team's innovation strategy, focusing on new product development and process improvement.
Lead engagement with internal business partners to translate business requirements into data & analytical problem formulations.
Clearly and concisely communicate technical information to both technical and non-technical audiences.
Requirements
Master's degree (PhD preferred) in Engineering, Data Science, Computer Science, Statistics, Industrial Engineering, or a related field.
5+ years of hands-on experience applying supervised and unsupervised machine learning algorithms, deep learning architectures, and statistical modeling techniques (Automotive OEM experience preferred).
5+ years of leading a team of cross-functional technical experts.
Proficiency in R and Python, along with experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn, XGBoost).
Experience with cloud-based platforms (e.g., GCP) and data-related technologies (e.g., SQL, Spark, Hive).
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