AI Engineer

Ford Ford · Auto · Dearborn, MI +1 · Enterprise Technology

AI Engineer role at Ford focused on designing, developing, and implementing AI/ML models and algorithms. Responsibilities include data preprocessing, feature engineering, model training, evaluation, tuning, and deployment, with a strong emphasis on using Gen AI technologies and cloud platforms.

What you'd actually do

  1. Design, develop, and implement AI/ML models and algorithms to solve complex problems.
  2. Perform data preprocessing, cleaning, and feature engineering to prepare data for model training.
  3. Train, evaluate, and tune various machine learning models.
  4. Develop and maintain robust and efficient code using Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  5. Document code, experiments, and results clearly and concisely.

Skills

Required

  • Python
  • TensorFlow
  • PyTorch
  • scikit-learn
  • Gen AI technologies
  • Cloud Platforms
  • AI Platforms

Nice to have

  • GCP
  • R
  • Spark
  • SQL
  • data pipelines
  • MLOps

What the JD emphasized

  • MUST HAVE experience using Gen AI technologies

Other signals

  • delivery of analytical, machine learning and AI solutions
  • all stages of the machine learning lifecycle
  • Gen AI technologies