Data Scientist

Ford México; Ciudad de México; On-site; MXN 600,000 - 1,200,000; Full time

Job summary

Ford México is seeking a skilled machine learning engineer to design and deliver modular data products for scalable AI applications. You will clean and prepare data, train models, and explore advanced techniques for automotive use cases while ensuring memory and latency constraints are met.

You’ll build APIs and UIs using FastAPI, Streamlit, Dash, and Plotly, deploy with Docker/Kubernetes, and collaborate across global teams to translate insights into actionable recommendations.

Qualifications

• Bachelor’s or Master’s in CS, Engineering, Mathematics, or Science or equivalent practical experience.
• 2–4 years of experience designing, building, and improving ML systems.
• Strong Python skills with NumPy, Pandas, and scikit-learn; ability to write readable, testable code.
• Experience developing APIs or services with FastAPI or similar frameworks; interfaces with Streamlit or similar tools.
• Experience deploying ML workloads on Google Cloud Platform (Vertex AI, Cloud Run, BigQuery, etc.).
• Familiarity with Google’s ADK or comparable agent frameworks; willingness to learn.
• Comfort with Git and GitHub workflows; clear written and verbal communication.

Responsibilities

• Design and build modular, production-ready ML data products for scalable consumption.
• Analyze, clean, and prepare structured/unstructured data; run statistical analyses for models.
• Experiment with state-of-the-art models for automotive use cases under memory/latency constraints.
• Develop agentic applications using Google’s ADK; integrate with tools/data/workflows.
• Deploy REST APIs and interfaces using Docker/Kubernetes and web frameworks (Dash/Plotly/Streamlit).
• Collaborate with teams; communicate findings, trade-offs, and recommendations clearly.

Skills

Python

NumPy

Pandas

scikit-learn

APIs/ FastAPI

Git/GitHub

Docker

Kubernetes

Dash/Plotly/Streamlit

Education

Bachelor’s orMaster’s in CS/Engineering/Math/Science

Tools

Docker

Kubernetes

FastAPI

Streamlit

Dash

Plotly

Git

Job description

Why Join Ford of Mexico?

Celebrating over 100 years of legacy in Mexico, we are more than just a business we are a vibrant, collaborative community of over 14,000 innovators shaping the global future of transportation. At Ford, we build what matters, grow where it counts, and drive progress with heart. Whether you are collaborating at our state-of-the-art Global Technology and Business Center (GTBC) or manufacturing iconic, award‑winning vehicles in our world-class plants, you will find a culture evolving together, built on trust, passion, and shared purpose. Here, your work moves people forward, and your growth is personal. Join us, and let’s build what’s next together.

What you’ll do...

• Design and build modular, production-ready machine learning data products using robust coding practices, so they can be consumed at scale.
• Analyze, clean, and prepare structured and unstructured data, and perform statistical analysis on large datasets to power models and AI applications.
• Explore state-of-the-art models and techniques, and run machine learning experiments to train and evaluate solutions for automotive use cases, including models that meet memory and latency constraints.
• Develop agentic applications using Google’s Agent Development Kit (ADK), integrating agents with tools, data, and application workflows.
• Deploy REST APIs and lightweight user interfaces using Docker and Kubernetes, and showcase machine learning, deep learning, and generative AI solutions through web frameworks such as Dash, Plotly, and Streamlit.
• Collaborate through Git and GitHub, including code review, and communicate findings, trade-offs, and recommendations clearly to technical and non-technical partners.

You’ll have...

• A bachelor’s or master’s degree in Computer Science, Engineering, Mathematics, or Science, or equivalent practical experience.
• Typically 2 to 4 years of experience designing, building, and improving machine learning systems. Candidates who have built comparable skills through other paths are encouraged to apply.
• Strong Python skills with NumPy, Pandas, and scikit-learn, and the ability to write readable, testable, and maintainable code. Experience developing APIs or services with FastAPI or similar frameworks, and interfaces with Streamlit or similar tools.
• Experience selecting, training, and evaluating models, with an understanding of data preparation, validation, metrics, and common sources of bias or data leakage.
• Experience deploying or supporting data and AI workloads on Google Cloud Platform (e.g., Vertex AI, Cloud Run, Cloud Storage, BigQuery, Artifact Registry, Cloud Build, Cloud Logging and Monitoring, Secret Manager, IAM). You are not expected to have used every service.
• Familiarity with Google’s Agent Development Kit (ADK) or comparable agent frameworks, and a willingness to learn.
• Comfort with Git and GitHub workflows (branching, pull requests, code review), plus clear written and verbal communication and a collaborative approach across teams and locations.

Even better, you may have...

• Experience with deep learning, natural language processing, generative AI, or retrieval-based applications, including vector search, search platforms, or unstructured data.
• Experience with Docker and container-based development, automated testing, dependency and environment management, CI/CD, production monitoring, data pipelines, distributed processing, or cloud-based analytics.

Ford of Mexico is committed to being an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, pregnancy, veteran status, or disability status.

Our focus is to build the best team. If you think you can bring value to Ford, love to collaborate, prioritize and aim to deliver excellence in everything you do,

We thank all candidates for their interest, but only those selected for an interview will be contacted.