remote
AI Engineer - Ford
AI Engineer
AI Engineer focused on building data‑driven mobility solutions using Python, Machine Learning, and cloud services like AWS to deliver actionable insights for business leaders.
About the role
Key Responsibilities
- Design, develop, and deploy machine learning models that analyze large mobility datasets to uncover trends and inform strategic decisions.
- Build and maintain scalable data pipelines using SQL, Python, and AWS services (S3, Glue, Redshift) to ensure high‑quality, real‑time data availability.
- Collaborate with cross‑functional teams to translate business requirements into analytical solutions and visual dashboards.
- Implement model monitoring, versioning, and performance tuning to sustain model accuracy and reliability.
- Document methodologies, best practices, and technical specifications for internal knowledge sharing.
Requirements
- 3+ years of experience in AI/ML engineering with a strong portfolio of production‑grade models.
- Proficiency in Python, SQL, and cloud platforms (AWS preferred).
- Hands‑on experience with TensorFlow or PyTorch for model development.
- Solid understanding of data engineering concepts and ETL pipeline design.
- Excellent communication skills and ability to work collaboratively in a fast‑paced environment.
Skills
pythonmachine learningsqlawstensorflowpytorch