Hybrid Machine Learning Manager – Design Cost Analytics

Posted 14 hours ago

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About the role

  • 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).

Benefits

  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development

Job title

Machine Learning Manager – Design Cost Analytics

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Postgraduate Degree

Location requirements

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