Machine Learning Engineer
At a glance
Mid-level Machine Learning Engineering role at Corning. Reynosa.
Pay not stated Machine Learning Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Help build, launch and maintain machine-learning models and pipelines for manufacturing needs
- Work with machine-learning, data-science, data-engineering and IT teams to put models into usable settings
- Prepare data, train and test models, troubleshoot problems, and document your work
- Spot technical issues, suggest fixes, and keep developing your skills with new tools
What you bring
- A bachelor’s degree in computer science, engineering or another listed technical field
- Up to two years of relevant experience through machine-learning, data or software work, including projects
- Practical Python experience and the ability to discuss projects you have completed
- Working knowledge of machine-learning methods, model training, data pipelines and deployment, plus familiarity with relevant Python libraries
- Advanced English for technical and business communication, reading and writing
Who this fits
This role suits an early-career engineer interested in applying machine learning to manufacturing and able to work with initiative and attention to detail. The position is based in Reynosa, Mexico.
From the employer
Would you like to build intelligent solutions that help transform manufacturing operations through automation, data, and machine learning?
ROLE DESCRIPTION
What is your role?
As a Machine Learning Engineer, you will support the development, deployment, and monitoring of machine learning solutions that help improve manufacturing performance, reduce defects, and enable smarter decision-making. This role is ideal for someone with strong technical curiosity, hands-on Python experience, and interest in applying machine learning in real business and manufacturing environments.Major responsibilities and tasks of the position:· Support the design, development, deployment, monitoring, and maintenance of machine learning models and pipelines.· Work with machine learning, data science, data engineering, and IT teams to move models and solutions into usable environments.· Assist with data preparation, model training, testing, troubleshooting, and documentation.· Contribute to continuous improvement by learning new tools, identifying issues, and proposing technical solutions.
REQUIREMENTS
What do you need to have?·
Bachelor’s degree in Computer Science, Engineering, Data Science, Information Technology, or a related technical field.· 0 to 2 years of experience in machine learning, data science, data engineering, software engineering, or related technical projects.· Hands-on experience with Python and ability to explain previous academic, personal, or professional projects.· Basic understanding of machine learning concepts, model training, data pipelines, and deployment processes.· Familiarity with Python libraries or frameworks such as scikit-learn, TensorFlow, PyTorch, pandas, or similar.· Proactive, detail-oriented, curious, and able to take initiative without waiting for step-by-step instructions.· Advanced English skills, with ability to communicate, read, and write in technical and business environments.
BENEFITS OF WORKING FOR CORNING
What we offer?·
Great benefits above law.· Opportunity to be part of a global technology and materials science company.· Learning environment with exposure to manufacturing, data, automation, and machine learning projects.· Collaborative team focused on innovation, continuous improvement, and technical excellence.· Opportunity to contribute to intelligent systems that support the future of optical communications and advanced manufacturing.
Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodation to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodations related to disability or religion, please contact us at accommodations@corning.comMORE ABOUT USCorning is one of the world’s leading innovators in materials science. For more than 170 years, Corning has applied its expertise in glass science, ceramics science, and optical physics to develop products that transform industries and improve people’s lives.