NCBiotech is hiring: AI/Machine Learning Engineer in Wilmington
NCBiotech, Wilmington, NC, United States
AI/ML Advanced Data Analytics Engineer
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: Required
Bachelor's degree in Computer Science, Statistics, Engineering or related scientific field (preferred).
2-4 years of relevant technical experience in a manufacturing environment.
Strong understanding of machine learning algorithms, data analysis, and statistical modeling techniques.
Demonstrated programming proficiency in Python and .NET/C#.
Education & Experience: Desired
Understanding concepts 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, describe data modeling decisions.
Cultural bias towards continual learning, sharing best practice, encouraging, 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 possible.
This position does not support immigration sponsorship.
Compensation: The range for this position is $82,051.00 - $112,821.00 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.
Benefits
Company-wide bonuses and long-term incentives align with key business results and ensure you are rewarded when the company performs well.
Company‑paid pension benefit with fixed contributions that grow throughout your career. Combined with matching contributions to your 401(k) savings plan, Corning’s total contributions to your retirement accounts can reach between 7% and 12% of your pay, depending on age and years of service.
Health and well-being benefits include medical, dental, vision, paid parental leave, family building support, fitness, company-paid life insurance, disability, disease management programs, paid time off, and an Employee Assistance Program (EAP).
Recognition program to celebrate successes and reward colleagues who make exceptional contributions.
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.
Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodations to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodation related to disability or religion, please contact accommodations@corning.com.
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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: Required
Bachelor's degree in Computer Science, Statistics, Engineering or related scientific field (preferred).
2-4 years of relevant technical experience in a manufacturing environment.
Strong understanding of machine learning algorithms, data analysis, and statistical modeling techniques.
Demonstrated programming proficiency in Python and .NET/C#.
Education & Experience: Desired
Understanding concepts 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, describe data modeling decisions.
Cultural bias towards continual learning, sharing best practice, encouraging, 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 possible.
This position does not support immigration sponsorship.
Compensation: The range for this position is $82,051.00 - $112,821.00 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.
Benefits
Company-wide bonuses and long-term incentives align with key business results and ensure you are rewarded when the company performs well.
Company‑paid pension benefit with fixed contributions that grow throughout your career. Combined with matching contributions to your 401(k) savings plan, Corning’s total contributions to your retirement accounts can reach between 7% and 12% of your pay, depending on age and years of service.
Health and well-being benefits include medical, dental, vision, paid parental leave, family building support, fitness, company-paid life insurance, disability, disease management programs, paid time off, and an Employee Assistance Program (EAP).
Recognition program to celebrate successes and reward colleagues who make exceptional contributions.
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.
Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodations to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodation related to disability or religion, please contact accommodations@corning.com.
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