Corning Incorporated
AI/Machine Learning Engineer
Corning Incorporated, Wilmington, North Carolina, United States, 28412
Overview
AI/Machine Learning Engineer role at Corning Incorporated. Corning is a leader in glass, ceramic, and materials science with opportunities to impact a wide range of industries. Scope Of Position
The AI/ML Advanced Data Analytics Engineer will be part of a core solution development team working with domain experts, application developers, controls engineers, data engineers and data scientists. Their primary responsibility will be to design and develop solutions to automate data access, data visualization and develop machine learning models. These systems & solutions will span both cloud and on-premises environments and will require close collaboration with many technical teams to ensure success. Responsibilities
Develop and implement AI/ML data science methodologies and AI products that align with business objectives. Apply data science techniques, such as machine learning, statistical modeling, and artificial intelligence to solve manufacturing and business problems. Collaborate with data scientists, process engineers, and controls engineers to understand and automate data operations like transformation and normalization. Design monitoring systems to ensure the models perform well. Generate documentation on data analytics pipelines and processes. Participate in advanced data analytics COPs (communities of practice) to spread knowledge and drive governance and reusability of data analytics topics. Leverage tools such as Databricks and AWS Datasync to manage data, build models, and deploy solutions. Stay abreast of the latest data science and AI/ML trends and technologies, identifying opportunities for innovation and improvement. Education & Experience
Bachelor's degree in Computer Science, Statistics, Engineering or related scientific field is preferred. 2-4 years of relevant technical experience in a manufacturing environment. Required Skills
Strong understanding of machine learning algorithms, data analysis, and statistical modeling techniques. Demonstrated programming proficiency in Python and .NET/C# Desired Skills
Understanding of big data engineering, ETL and ELT pipelines for data warehousing, on-premise and cloud data lake environments. Familiarity with tools such as Databricks and AWS platform services. Ability to communicate well with users and other technical teams to collect requirements and describe data modeling decisions. Continuous learning mindset and willingness to share best practices and elevate colleagues. Travel Requirements
Domestic travel up to 25%. Work Schedule
Typically, 40 hours/week but could be more depending on project requirements. Night and/or weekend work is possible. Additional Details
This position does not support immigration sponsorship. The salary range is $83,750.00 - $115,156.00 for full-time status. Starting pay is dependent on factors including geographic location, experience, and education. Benefits may include medical, dental, vision, 401(k), pension, life insurance, disability benefits, and PTO, depending on hours worked. Benefits and Company Culture
A job that shapes a life. Corning offers a total package focused on health, wellness, and career development. Benefits may include a company-paid pension, 401(k) matching, comprehensive health coverage, parental leave, family-building support, fitness programs, life insurance, disability coverage, and recognition programs. 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. Reasonable accommodations for applicants with disabilities are available upon request at accommodations@corning.com. Referrals increase your chances of interviewing at Corning Incorporated. #J-18808-Ljbffr
AI/Machine Learning Engineer role at Corning Incorporated. Corning is a leader in glass, ceramic, and materials science with opportunities to impact a wide range of industries. Scope Of Position
The AI/ML Advanced Data Analytics Engineer will be part of a core solution development team working with domain experts, application developers, controls engineers, data engineers and data scientists. Their primary responsibility will be to design and develop solutions to automate data access, data visualization and develop machine learning models. These systems & solutions will span both cloud and on-premises environments and will require close collaboration with many technical teams to ensure success. Responsibilities
Develop and implement AI/ML data science methodologies and AI products that align with business objectives. Apply data science techniques, such as machine learning, statistical modeling, and artificial intelligence to solve manufacturing and business problems. Collaborate with data scientists, process engineers, and controls engineers to understand and automate data operations like transformation and normalization. Design monitoring systems to ensure the models perform well. Generate documentation on data analytics pipelines and processes. Participate in advanced data analytics COPs (communities of practice) to spread knowledge and drive governance and reusability of data analytics topics. Leverage tools such as Databricks and AWS Datasync to manage data, build models, and deploy solutions. Stay abreast of the latest data science and AI/ML trends and technologies, identifying opportunities for innovation and improvement. Education & Experience
Bachelor's degree in Computer Science, Statistics, Engineering or related scientific field is preferred. 2-4 years of relevant technical experience in a manufacturing environment. Required Skills
Strong understanding of machine learning algorithms, data analysis, and statistical modeling techniques. Demonstrated programming proficiency in Python and .NET/C# Desired Skills
Understanding of big data engineering, ETL and ELT pipelines for data warehousing, on-premise and cloud data lake environments. Familiarity with tools such as Databricks and AWS platform services. Ability to communicate well with users and other technical teams to collect requirements and describe data modeling decisions. Continuous learning mindset and willingness to share best practices and elevate colleagues. Travel Requirements
Domestic travel up to 25%. Work Schedule
Typically, 40 hours/week but could be more depending on project requirements. Night and/or weekend work is possible. Additional Details
This position does not support immigration sponsorship. The salary range is $83,750.00 - $115,156.00 for full-time status. Starting pay is dependent on factors including geographic location, experience, and education. Benefits may include medical, dental, vision, 401(k), pension, life insurance, disability benefits, and PTO, depending on hours worked. Benefits and Company Culture
A job that shapes a life. Corning offers a total package focused on health, wellness, and career development. Benefits may include a company-paid pension, 401(k) matching, comprehensive health coverage, parental leave, family-building support, fitness programs, life insurance, disability coverage, and recognition programs. 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. Reasonable accommodations for applicants with disabilities are available upon request at accommodations@corning.com. Referrals increase your chances of interviewing at Corning Incorporated. #J-18808-Ljbffr