Machine Learning and AI Developer
Core
Building Ford's internal orchestration layer and overseeing vendor fine-tuning operations for AI engines within the Telemetry and Observability Platform (TOP) to support dealer service, manufacturing, and validation workflows.
Role type
Senior Machine Learning and AI Developer (LLM & MLOps)
Builds
Ford's internal orchestration layer connecting external and internal AI engines; production-ready AI systems for vehicle diagnostics and triage.
Domain
Automotive (Electric Vehicles) + Large Language Models (LLMs) + Cloud Infrastructure
Deliverable
production ML models
Required skills
LLM fine-tuning, agentic AI system design, MLOps, Python, model evaluation frameworks, cloud architecture, data governance
Preferred skills
Google Cloud Vertex AI, LangChain/LangGraph, RAG architectures, prompt engineering
Technologies
Google Cloud Vertex AI, LangChain, LangGraph, PyTorch, TensorFlow, MLflow, Hugging Face
Responsibilities
Oversee vendor fine-tuning of Google Cloud Vertex AI using proprietary diagnostic data; Design and build Ford's Orchestration Layer integrating external AI engines; Evaluate AI engine outputs against accuracy, latency, and first-time fix rate metrics; Build internal tooling for model monitoring, drift detection, and retraining triggers; Define model evaluation frameworks for AI-generated triage recommendations; Collaborate with data engineering on feature engineering requirements; Represent AI/ML engineering in architecture reviews and vendor discussions.
Seniority
Senior, hands-on IC
