At least 5 years of Unix or Linux system administration experience. Drive reliability transformation across settlement, observability, and automation domains -……
You will design and run experiments across software development and quality engineering, evaluate emerging AI engineering tools and agentic workflows, establish……
At least 3 years of relevant experience in automation testing. In this role, you will play a key part in shaping a robust automation testing approach that……
This is a player-coach role, requiring active contribution to architecture, coding, technical decision-making, and platform delivery while driving team……
Leads the adoption and integration of AI capabilities into existing systems to accelerate digital transformation. System integration and architecture design.…
Lead, coach, and mentor the team of OneStream developers. Responsible for the technical leadership, stability and continuous evolution of the OneStream platform……
Mentor and coach junior and mid-level engineers, particularly in component development and modern frontend frameworks. 2 Founder Days + Juneteenth Observed.…
Mentor and coach senior engineers to elevate technical capabilities across the team. This role offers the opportunity to drive technical direction and deliver……
5 years of experience required in deploying and managing machine learning pipelines, or related work. Capgemini is responsible for managing local payroll and……
Mentor and coach Senior Engineers, Engineers II, and Engineers I to grow technical and leadership skills. The Staff Software Engineer is a highly experienced……
Mentor, coach, and develop engineers. The Engineering Lead is responsible for leading the design, development, and delivery of high-quality software solutions……
Mindtech es tu puerta de entrada a proyectos tecnológicos emocionantes y con impacto. Nos encontramos en la búsqueda de un Scrum Master Senior con experiencia……
None. However, opportunities to mentor and coach team members are encouraged and valued. Design, develop, and maintain cloud-native applications using .…
Se espera que el candidato demuestre liderazgo técnico, excelentes habilidades de comunicación y una mentalidad proactiva para aprender y adoptar nuevas……
Are you ready to lead the deployment of machine learning solutions that improve manufacturing quality, increase automation, and support the future of optical communications?
ROLE DESCRIPTION
What is your role?
As a Senior Machine Learning Engineer, you will design, deploy, monitor, and improve machine learning solutions that create measurable business value across manufacturing and technology environments. This role requires a strong technical contributor with experience taking machine learning solutions into production, applying MLOps practices, and helping guide others through technical problem-solving and execution.Major responsibilities and tasks of the position: · Design, build, deploy, monitor, and maintain end-to-end machine learning pipelines and production-ready solutions.· Translate machine learning prototypes into scalable, reliable, and secure solutions for manufacturing and business environments.· Apply MLOps and DevOps practices to support model versioning, deployment, monitoring, retraining, and troubleshooting.· Provide technical guidance, contribute to architecture discussions, support code reviews, and help coach less experienced team members.
REQUIREMENTS
What do you need to have?·
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Information Technology, or a related technical field.· 3+ years of experience in machine learning engineering, data engineering, software engineering, data science, or similar technical roles.· Proven experience deploying machine learning models or intelligent solutions into production environments.· Strong hands-on experience with Python and machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, or similar.· Experience or solid understanding of MLOps, DevOps, CI/CD, model monitoring, model retraining, and production support concepts.· Basic knowledge of containerization or orchestration tools such as Docker or Kubernetes.· Advanced English skills, with ability to communicate technical and business information clearly
BENEFITS OF WORKING FOR CORNING
What we offer?·
Great benefits above law.· Opportunity to contribute to high-impact machine learning solutions in advanced manufacturing.· Global environment with exposure to optical communications, automation, data, and technology initiatives.· Collaborative team that values technical excellence, innovation, learning, and continuous improvement.· Opportunity to influence architecture, deployment practices, and the growth of machine learning capabilities.
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.