Ford Motor Company

AI/ML Engineer

Ford Motor Company

full-time

Posted on:

Location Type: Hybrid

Location: Dearborn • Missouri • 🇺🇸 United States

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Salary

💰 $60,000 - $80,000 per year

Job Level

Mid-LevelSenior

Tech Stack

BigQueryDockerKubernetesPythonPyTorchScikit-LearnSparkSQLTensorflowTerraform

About the role

  • Design, build, and operationalize scalable AI systems and intelligent agents to enhance customer outcomes, mitigate financial risk, and boost operational efficiency at Ford Credit.
  • Lead end-to-end strategic AI initiatives, balancing rapid experimentation with production rigor and ensuring compliance with financial regulatory requirements.

Requirements

  • Bachelors degree
  • 3+ years of applied ML/AI experience with at least 1 years focused on production ML systems and engineering.
  • Strong software engineering skills: advanced Python, modular design, testing, typed codebases and deployment experience.
  • Production ML/MLOps experience: containerization (Docker), orchestration (Kubernetes), CI/CD tooling, infra-as-code (Terraform/CloudFormation), and deployment frameworks (TFX, MLflow, KServe/Seldon/BentoML or equivalent).
  • Practical experience with modern ML frameworks: scikit-learn, PyTorch or TensorFlow.
  • Hands-on experience designing, building, and productionizing AI agents using modern frameworks (e.g., LangChain, Google ADK, LlamaIndex or similar), including RAG/embedding pipelines, memory/state management, tool-using agent patterns, vector DB integration, secure connector design, and operational guardrails for safe human-in-the-loop orchestration.
  • Experience designing or productionizing agent architectures: tool-using agents, planner/actor patterns, memory/state management, and safe orchestration of multi-step tasks.
  • Strong data engineering skills: SQL, data modeling, experience with big data platforms (Spark, Databricks, Snowflake, BigQuery or similar) and streaming/event-driven systems.
  • Demonstrated ability to design and implement model and agent monitoring, data quality checks, drift detection and alerting.
  • Knowledge of model explainability and fairness tooling (SHAP, LIME, integrated gradients or equivalent) and experiment design / A/B testing methodologies.
  • Experience working in regulated environments (credit/finance preferred) and producing artifacts for model risk, audit, and compliance.
  • Strong verbal and written communication skills with experience distilling complex technical topics for non-technical stakeholders.
Benefits
  • Immediate medical, dental, vision and prescription drug coverage
  • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
  • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
  • Vehicle discount program for employees and family members and management leases
  • Tuition assistance
  • Established and active employee resource groups
  • Paid time off for individual and team community service
  • A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
  • Paid time off and the option to purchase additional vacation time.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningartificial intelligencePythonmodular designtestingDockerKubernetesTerraformscikit-learnPyTorch
Soft skills
communicationleadershipstrategic thinkingproblem-solvingcollaboration
Certifications
Bachelor's degree