MLOps Platform Engineer (67127)

Requisition Number: 67127

The company built on breakthroughs.
Join us.

Corning is one of the worlds 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 whats 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 companyand 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.

Cornings 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:

• Bachelors degree in Computer Science Engineering or a related field; advanced degree preferred.

Required Skills & Experience:

• Overall IT operations experience of 5 yearswith 3years 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 GCP) 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$100259.00-$137857.00assuming 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. Thats 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 ofrace color gender age religion national origin sexual orientation gender identity or expression disabilityveteran 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 .