MLOps Platform Engineer

Requisition Number: 67127

The company built on breakthroughs.
Join us.

Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what's possible.

How do we do this? With our people. They break through limitations and expectations - not once in a career, but every day. They help move our company, and the world, forward.

At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.

Come break through with us.

Corning's businesses are ever evolving to best serve our customers, industries, and consumers. Today, we accelerate and transform life sciences, mobile consumer electronics, optical communications, display, and automotive markets. We are changing the world with:

• Trusted products that accelerate drug discovery, development, and delivery to save lives
• Damage-resistant cover glass to enhance the devices that keep us connected
• Optical fiber, wireless technologies, and connectivity solutions to carry information and ideas at the speed of light
• Precision glass for advanced displays to deliver richer experiences
• Auto glass and ceramics to drive cleaner, safer, and smarter transportation

Location: Corning, NY or Charlotte, NC (Hybrid)

Job Summary: We are seeking a highly skilled and motivated Databricks Administrator with a specialization in MLOps to join our team. The successful candidate will be responsible for overseeing the end-to-end machine learning operations (MLOps) on the Databricks platform. This includes managing the MLFlow process, implementing continuous integration and continuous deployment (CICD) pipelines, integrating with Git, orchestrating model serving, and managing the Unity Catalog.

Key Responsibilities:

• Oversee and manage the MLFlow process on the Databricks platform, ensuring efficient tracking, versioning, and deployment of machine learning models.
• Implement and maintain CICD pipelines for seamless integration and deployment of ML models.
• Ensure robust Git integration for version control of code, data, and models.
• Manage model serving infrastructure to ensure high availability and low latency of ML models in production.
• Administer the Unity Catalog to ensure secure and organized data access and management.
• Collaborate with data scientists, data engineers, and other stakeholders to streamline the MLOps workflow.
• Monitor and optimize the performance of ML models in production, ensuring they meet SLAs and performance metrics.
• Stay up-to-date with the latest developments in Databricks, MLFlow, and MLOps to continuously improve our processes and infrastructure.

Educational Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred.

Required Skills & Experience:

• Overall IT operations experience of 5+ years with 3+ years of experience in Databricks and MLOps, with a proven track record of managing and deploying ML models in production.
• Strong proficiency in Databricks, including MLFlow, Delta Lake, and Unity Catalog.
• Hands-on experience with CICD tools and practices, such as Jenkins, GitLab CI, or Azure DevOps.
• Proficiency in Git for version control, including branching, merging, and pull requests.
• Experience with model serving frameworks such as Databricks Model Serving, TensorFlow Serving, or similar.
• Solid understanding of cloud platforms (AWS, Azure, Google Cloud Platform) and their integration with Databricks.
• Strong programming skills in Python, with experience in libraries such as Pandas, NumPy, Scikit-learn, and TensorFlow/PyTorch.

Desired Skills

• Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes is a plus.
• Excellent problem-solving skills and ability to troubleshoot complex issues in a distributed computing environment.
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.

This position supports immigration sponsorship.

The range for this position is $100,259.00 - $137,857.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position are dependent on hours worked and may include medical, dental, vision, 401(k) plan, pension plan, life insurance coverage, disability benefits, and PTO.

A job that shapes a life.

Corning offers you the total package.

Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial, and career from day one

• As part of our commitment to your financial well-being, we provide a 100% company-paid pension benefit that grows throughout your career. We also offer a 401(k) savings plan with company matching contributions.
• Our health and well-being benefits include medical, dental, vision, paid parental leave, family building support, fitness, company-paid life insurance, disability, and disease management programs.
• Company-wide bonuses and long-term incentives, align with key business results and ensure you are rewarded when the company performs well - when Corning wins, we all win.
• Getting paid for our work is important but feeling appreciated and recognized for those contributions motivates us much more. That's why Corning offers a peer-to-peer recognition program to celebrate success by recognizing colleagues who demonstrate above-and-beyond behaviors.

We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To request an accommodation, please contact us at