AI/ML Engineer with Gen AI & MLOps (Hybrid)

Wayne State University; Dearborn (MI); Hybrid; USD 68,000 - 143,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Vehicle discount program

Tuition assistance

Paid time off

Paid holidays

Job summary

Ford Motor Company in Dearborn, MI is seeking an AI/ML Engineer to design and deliver AI/ML solutions across products, focusing on improving customer experience and efficiency.

The role requires a strong data science and MLOps background, with hands-on Python, TensorFlow/PyTorch, and experience with Gen AI technologies. This is a hybrid role with onsite four or more days per week, offering salary grades and competitive compensation.

Qualifications

• Bachelor’s Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT)
• MUST HAVE experience using Gen AI technologies.
• Experience using Cloud Platforms and AI Platforms.
• Preferred: Working knowledge of GCP.
• Expertise in open‑source data science technologies such as Python, R, Spark, SQL.
• Conceptual understanding of data pipelines and MLOps

Responsibilities

• Design, develop, and implement AI/ML models and algorithms to solve complex problems.
• Perform data preprocessing, cleaning, and feature engineering to prepare data for model training.
• Train, evaluate, and tune various machine learning models.
• Develop and maintain robust and efficient code using Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Document code, experiments, and results clearly and concisely.
• Collaborate effectively with other engineers within the team. Ability to work within an agile development model working closely with a product manager and other engineers.

Skills

Gen AI

Data Science

MLOps

Education

Bachelor’s Degree in related field

Tools

Python

TensorFlow

PyTorch

scikit-learn

GCP

Job description

Ford Motor Company in Dearborn, MI is seeking an AI/ML Engineer to design and deliver AI/ML solutions across products, focusing on improving customer experience and efficiency.

The role requires a strong data science and MLOps background, with hands-on Python, TensorFlow/PyTorch, and experience with Gen AI technologies. This is a hybrid role with onsite four or more days per week, offering salary grades and competitive compensation.