Machine Learning Engineer (Obispado, NLE, MX, 64060)

<p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span><em>Are you ready to turn machine learning ideas into reliable solutions that improve how products are made?</em></span></span></p> <p> </p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span><strong>What is your role?</strong></span></span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span>As a Machine Learning Engineer, you will work within a collaborative technical team to build, deploy, monitor, and maintain machine learning solutions that create measurable business value. You will partner with data scientists, analytics leaders, IT, and manufacturing teams to move models from experimentation into scalable and reliable production environments. This role is based in Monterrey and requires regular onsite presence, with hybrid flexibility.</span></span></p> <p> </p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span><strong>Major responsibilities and tasks of the position:</strong></span></span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span>- Participate in the development and maintenance of end-to-end machine learning pipelines, including data ingestion, preprocessing, training, validation, deployment, monitoring, and retraining.</span></span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span>- Collaborate with data scientists and engineers to translate prototypes and experimental models into production-ready solutions.</span></span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span>- Support model serving through APIs, batch jobs, or real-time systems, and apply MLOps practices for versioning, orchestration, monitoring, and CI/CD.</span></span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span>- Troubleshoot data, model, deployment, and integration issues while maintaining clear technical documentation and participating in code reviews.</span></span></p> <p> </p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span><strong>What do you need to have?</strong></span></span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span>- Bachelor's degree in Computer Science, Engineering, Data Science, Software Engineering, Data Engineering, or a related technical field.</span></span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span>- 0-2 years of experience in machine learning, data science, data engineering, software engineering, or relevant hands-on academic, internship, personal, or professional projects.</span></span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span>- Strong Python foundation and hands-on experience with at least one machine learning library or framework such as scikit-learn, TensorFlow, or PyTorch.</span></span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span>- Understanding of the machine learning lifecycle and the ability to clearly explain a project, your personal contribution, the tools used, and the outcome.</span></span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span>- Basic familiarity with data pipelines, databases, APIs, software development practices, or workflow automation.</span></span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span>- Advanced technical and business English, both written and verbal.</span></span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span>- Ability to work onsite in Monterrey at least two days per week and support plant-based projects as needed.</span></span></p> <p> </p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span><strong>What would be a plus?</strong></span></span></p> <p> </p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span>- Exposure to Databricks, MLflow, Kubeflow, Docker, Kubernetes, CI/CD, or other MLOps/DevOps tools.</span></span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span>- Experience with manufacturing, industrial, process, plant, or production data.- A GitHub portfolio or other examples that demonstrate hands-on technical work.</span></span></p> <p> </p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span><strong>What do we offer?</strong></span></span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span>- Competitive benefits above the requirements of Mexican law.</span></span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span>- Opportunity to work on high-impact machine learning initiatives that support manufacturing and business transformation.</span></span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span>- Collaborative global environment with exposure to Data Science, IT, analytics, and manufacturing teams.</span></span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span>- Learning and career development in a growing technical organization.</span></span></p> <p> </p> <p> </p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:14.0pt"><span>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.com </span> </span></p>