MLOps Platform Engineer

Requisition Number: 67127

Corning is vital to progress – in the industries we help shape and in the world we share.

We invent life-changing technologies using materials science. Our scientific and manufacturing expertise, boundless curiosity, and commitment to purposeful invention place us at the center of the way the world interacts, works, learns, and lives.

Our sustained investment in research, development, and invention means we’re always ready to solve the toughest challenges alongside our customers. 

The global Information Technology (IT) Function is leading efforts to align IT and Business Strategy, leverage IT investments, and optimize end to end business processes and associated information integration technologies.  Through these efforts, IT helps to improve the competitive position of Corning's businesses through IT enabled processes.  IT also delivers Information Technology applications, infrastructure, and project services in a cost efficient manner to Corning worldwide.

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, 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 $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.

​Corning Puts YOU First! 

We are committed to supporting your health, financial, career development, and life goals as you grow professionally and personally to achieve your highest potential. All benefits begin as soon as you start your career at Corning. 
 

• Our monetary peer-to-peer recognition program is tied to our Values and celebrates you and your colleagues’ contributions. 
• Health and well-being benefits include medical, dental, vision, paid parental leave, mental health/substance use, fitness, and disease management programs.  
• Financial benefits include a 401(k) savings plan with company matching contributions and a 100% company-paid pension benefit that grows steadily throughout your career. 
• Companywide bonus and attractive short- and long-term compensation programs are available based on your role and responsibilities.   
• Professional development programs help you grow and achieve your career goals.

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 accommodations@corning.com.