Data Scientist MLOPs
Core
Build and advance Ford's internal Data Science/AI/ML platform on Google Cloud Platform (GCP), standardizing ML development practices and supporting the deployment, training, and retraining of production ML models.
Role type
Senior IC MLOps Engineer (Cloud/ML Platform)
Builds
Internal MLOps platform, production ML model deployment pipelines, and data products for data scientists.
Domain
Automotive / Cloud Engineering / Machine Learning Operations
Deliverable
production ML models
Required skills
Python, GCP Vertex AI, ML workflow orchestration (Airflow/Kubeflow), MLOps tools (Tekton, Terraform), Containerization (Docker), Kubernetes (GKE), RESTful API development, CI/CD/CT, Git, Bash/PowerShell scripting
Preferred skills
Master's degree in CS/ML, Infrastructure as Code (Terraform), TDD, Generative AI concepts, scikit-learn/TensorFlow/PyTorch frameworks
Technologies
GCP, Vertex AI, BigQuery, GCS, GKE, Kubeflow, Dataflow, Pub/Sub, Tekton, Terraform, Docker, Kubernetes, Airflow
Responsibilities
Deliver MLOps platform on GCP using Python; Innovate and standardize ML development practices; Deploy ML models and algorithms into production; Automate model deployment, training, and retraining using CI/CD/CT; Develop and integrate RESTful APIs; Collaborate with software engineers to resolve complex platform issues; Provide technical guidance to other engineers.
Seniority
Senior, hands-on IC
