12 ago
|
Ppg
|
Santiago de Querétaro
12 ago
Ppg
Santiago de Querétaro
The ML Engineer is an entry-level individual contributor position within the Machine Learning Engineering (MLOps) career track. You will focus on designing, building, and supporting end-to-end machine learning pipelines and systems within PPG's enterprise environment. Associates contribute to machine learning model development, deployment, and operational support while applying established ML engineering tools and standards. You will be reporting directly to Data Scientist Lead.
Key Responsibilities
- Develop, test, and maintain ML pipelines and supporting components
- Help with model deployment, versioning, and monitoring under established MLOps frameworks
- Implement data preprocessing, feature engineering, and validation logic
- Debug and resolve basic issues related to model performance, pipelines, or infrastructure
- Participate in code reviews and apply feedback to improve code quality
- Maintain technical documentation for components and workflows
Qualifications
- 1-2 years of related work experience in Academic projects, internships,
or early professional experience supporting machine learning, data engineering,ML, Data science, CI/CD or DevOps programs.
- Fluent in English.
Benefits like pension plan, medical and life insurance, salary will be reviewed in the interview meeting. This is a hybrid role.
About Us
Here at PPG we make it happen, and we seek candidates of the highest integrity and professionalism who share our values, with the commitment and drive to strive today to do better than yesterday – everyday.
PPG: WE PROTECT AND BEAUTIFY THE WORLD™
Through leadership in innovation, sustainability and color, PPG helps customers in industrial, transportation, consumer products, and construction markets and aftermarkets to enhance more surfaces in more ways than does any other company. To learn more, visit www.ppg.com and follow @ PPG on Twitter.
At PPG we use AI in the hiring process to make the process more efficient. AI tools do not make hiring dec
📌 Jr. MLOps Engineer (Santiago de Querétaro)
🏢 Ppg
📍 Santiago de Querétaro