AI Engineer

The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning Big Data Statistics Econometrics and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include but are not limited to Connected Vehicle Smart Mobility Advanced Operations Manufacturing Supply chain Logistics and Warranty Analytics.

In this role you will be a core contributor to our internal AI Software Engineering and Data Science projects. Guided by Senior Developers and Tech Anchors you will help design build and deploy scalable applications that consume machine learning models. You will get hands-on experience deploying models on Google Cloud Platform (GCP) working with Generative AI technologies and adhering to robust software engineering principles. This is an excellent opportunity for an engineer who is eager to accelerate their career in AI and DevSecOps.

• Contribute tothe development and maintenance of Python-based applications that leverage GenAI LLMs and traditional machine learning models to solve business problems.
• Work closely with Senior Developers Tech Anchors and Product Managers tohelp deliver and scaleour AI/MLOps platform on GCP for data scientists across the company.
• Write clean testable and maintainable codeactively participate in code reviews and utilize GIT for version control and collaboration.
• Assist inthe development of autonomous AI agents using frameworks such as LangGraph or ADK (Agentic Design Kit) to automate workflows.
• Supportthe deployment of AI models into production run simulations for algorithm development andcollaborate onthe design of intelligent systems.
• Develop and integrate RESTful APIs to connect various systems and services within the ML platform.
• Help automateAI model training re-training and deployment pipelines by applying Agile methodologies and CI/CD/CT principlesunder the guidance of senior engineers.
• Collaborate with the engineering team to understand the platform vision break down tasks andwork together to solve complexArtificial Intelligence problems.
• Experiment with emerging technologies (NLP Computer Vision MLOps Kubernetes) tocontinuously grow your own technical expertiseand share new learnings with the team.
• Participate ininnovating and standardizing AI/ML development practices within the team.
• Effectively leverage AI-powered development tools(such as GitHub Copilot Cline or Open Code) to accelerate software delivery while rigorously maintaining high standards for code quality security and performance.

Minimum Qualifications

• English proficiency (written and verbal)
• A Bachelors degree in Computer Science / Computer Engineering or similar technical discipline.
• 2 years of experience with Python and Cloud Engineering / Services such as GCP Vertex AI and related services.
• A solid foundational understanding of Machine Learning concepts and Generative AI (GenAI) technologies including Large Language Models (LLMs).
• Experience with AI/ML workflow orchestration tools: e.g. Airflow Kubeflow etc.
• Experience in DevSecOps using tools such as Tekton SonarQube Checkmarks etc.
• Experience with scripting languages (e.g. Bash PowerShell).

Desired Skills

• Masters in computer science / AI Machine Learning or related field.
• Exposure to AI/ML workflow orchestration tools (e.g. Airflow Kubeflow) and ML frameworks (Sklearn TensorFlow Pytorch).
• Familiarity with CI/CD concepts and tools like GitHub Actions SonarQube or Checkmarks.
• Basic knowledge or experience with Terraform.
• Contribute to the development of user interfaces for the ML platform using of React / Dash / Angular or similar frameworks.
• Experience working with container technology docker files docker images GitHub CI/CD concepts.
• Experience with Agile methodologies Paired Programming or Test-Driven Development (TDD).

Ford Motor Company is an Equal Opportunity Employer as we are committed with a diverse workforce and do not discriminate against any employee or applicant for employment because of race color sex age national origin religion sexual orientation gender identity and/or expression status as a veteran and basis of disability.