AI/Machine Learning Engineer

Corning

7d • Hybrid

About The 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.

Requirements

• Bachelor's degree in Computer Science, Statistics, Engineer or related scientific field is 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#

Nice To Haves

• Understand 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, other technical team to collect requirements, describe data modeling decisions.
• Cultural bias towards continual learning, sharing best practice, encouraging, and elevating less experienced colleagues as they learn

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.

Benefits

• Company-wide bonuses and long-term incentives
• 100% company-paid pension benefit with fixed contributions
• Matching contributions to your 401(k) savings plan
• Medical, dental, vision
• Paid parental leave
• Family building support
• Fitness
• Company-paid life insurance
• Disability
• Disease management programs
• Paid time off
• Employee Assistance Program (EAP)
• Recognition program

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level