Data Scientist
Ford Motor Company (company site, opens in a new tab)3+ yrsOn-siteDirect career pageEst. 15–28 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Develop, validate, and deploy advanced machine learning models and agentic solutions to support supply chain and operations decisions.
- Build and operationalize containerized ML services and data pipelines on Google Cloud Platform using tools like Cloud Run, BigQuery, Dataform, and Cloud Build.
- Collaborate with cross-functional teams and communicate complex analytical insights to both technical and non-technical stakeholders to influence business decisions.
Minimum Requirements
- Bachelor’s degree in computer science, Data Science, Statistics, or related technical field.
- Minimum 3 years of professional experience in AI/ML engineering or software engineering focused on model deployment.
- Hands-on experience with Generative AI stack, including LLMs and orchestration frameworks like LangChain or Langgraph.
- Proficiency with Google Cloud Platform services (Vertex AI, BigQuery, Cloud Run) and strong skills in Python, SQL, and machine learning libraries (scikit-learn, XGBoost, PyTorch/TensorFlow).
Ideal Candidate Profile
- Experienced in deploying scalable machine learning models within cloud environments, specifically Google Cloud Platform.
- Strong software engineering background with best practices in API design, version control, and unit testing.
- Comfortable working in cross-disciplinary settings bridging supply chain, operations, analytics, and engineering domains.