**Job Qualifications**:
- Master's or Ph.D. degree in Computer Science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline preferred.
- 4+ years of experience with software engineering best practices in a team of 6+ engineers
- 2+ years working within public cloud ecosystems (AWS, GCP, or Azure)
**Technical Skills**:
- Strong programming skills in Python.
- Demonstrated expertise in designing & architecting cloud-based data pipelines / microservices
- Experience working with databases, including data modeling and querying relational databases (PostgreSQL, MySQL), NoSQL databases, and columnar databases like BigQuery
- Should have experience in feature engineering, hyper parameter tuning, model evaluation, etc.
- Should have experience in using Pandas/Numpy/ScikitLearn, Pytorch, Tensorflow, Huggingface
- Core concepts of modern NLP or Computer Vision modeling techniques
- Familiarity with best practices in deep learning
- Strong technical writing and oral english skills
- Preferred Qualifications: _
- Git and best practices in GitHub
- Test and Behavior Driven Development
- OS: Linux shell scripts
- Experience with Google Cloud Platform
- Experience with front-end and back-end technologies (React, Angular, Node.js) for developing integrated data access and visualization layers
- High-level proficiency in Infrastructure-as-Code (IaC) tools, specifically Terraform
- Strong knowledge of CI/CD pipelines and automation frameworks to enhance development workflows
**Leadership Skills**:




- Proven ability to build and lead high-performing engineering teams
- Strong understanding of security best practices and principles
- Experience implementing data governance frameworks and security measures
- Excellent problem-solving and troubleshooting skills
- Outstanding communication, collaboration, and presentation abilities
- Demonstrated success delivering complex projects under aggressive timelines
- Previous experience in manufacturing or automotive preferred
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.
**Responsabilities**:
- Analyze source data and data flows, working with structured and unstructured data (text, audio, images, video, etc.)
- Manipulate high-volume, high-dimensionality data from varying sources to expose and highlight patterns, anomalies, relationships, and trends.
- Analyze and visualize diverse sources of data, interpret results in a business context and report results clearly and concisely.
- Fulfill problem formulation and ML technique consulting requests in a timely manner.
- Communicate and present analytical models to business customers and executive management.
- Work collaboratively with different business partners and be able to present results in a clear and concise manner.

📌 Sr. Machine Learning Engineer (Naucalpan de Juárez)
🏢 Ford Motor
📍 Naucalpan de Juárez