Corning Incorporated
AI/Machine Learning Engineer
Corning Incorporated, Wilmington, North Carolina, United States, 28412
Overview
Corning Incorporated is seeking an
AI/Machine Learning Engineer
as part of the Optical Communications segment. 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.
Programming proficiency in Python and .NET/C#
Desired Skills
Understand concepts of big data engineering, ETL and ELT pipelines for data warehousing, on-premises 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.
Cultural bias towards continual learning, sharing best practices, and elevating less experienced colleagues as they learn.
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.
This position does not support immigration sponsorship.
The salary range for this position is $83,750.00 - $115,156.00 for full-time status. Starting pay will depend on location, experience, and education. Benefits may include medical, dental, vision, 401(k) plan, pension plan, life insurance coverage, disability benefits, and PTO depending on hours worked.
Corning offers a total compensation and benefits package, including health and well-being programs and a recognition program.
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 accommodations 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 accommodations@corning.com.
Seniority level Mid-Senior level
Employment type Full-time
Job function Manufacturing and Engineering
Industries Telecommunications
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AI/Machine Learning Engineer
as part of the Optical Communications segment. 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.
Programming proficiency in Python and .NET/C#
Desired Skills
Understand concepts of big data engineering, ETL and ELT pipelines for data warehousing, on-premises 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.
Cultural bias towards continual learning, sharing best practices, and elevating less experienced colleagues as they learn.
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.
This position does not support immigration sponsorship.
The salary range for this position is $83,750.00 - $115,156.00 for full-time status. Starting pay will depend on location, experience, and education. Benefits may include medical, dental, vision, 401(k) plan, pension plan, life insurance coverage, disability benefits, and PTO depending on hours worked.
Corning offers a total compensation and benefits package, including health and well-being programs and a recognition program.
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 accommodations 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 accommodations@corning.com.
Seniority level Mid-Senior level
Employment type Full-time
Job function Manufacturing and Engineering
Industries Telecommunications
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