Machine Learning Engineer

Howmet Aerospace - Whitehall, MI

Full-time

Whitehall, MI

Fabricated Metal Product Manufacturing

About the position

Howmet Aerospace is seeking a Machine Learning Engineer to join their Research and Development group. This role focuses on developing and optimizing machine learning applications and solutions to enhance manufacturing processes across various facilities. The engineer will work closely with cross-functional teams to drive continuous improvement and foster a data-driven culture within the organization.

Responsibilities

• Evaluating, developing, and testing Artificial Intelligence / Machine Learning applications and solutions.
• Developing and optimizing machine learning algorithms for Howmet products across all businesses.
• Constructing and manipulating large datasets using tools such as Python, R, SAS, SQL, Minitab, PowerBI and more.
• Solving operational, quality, and engineering problems using big data and image sets.
• Identifying opportunities and deploying tools to drive continuous improvement using machine learning.
• Driving a data-driven culture across the organization through expanding applications and training.
• Interacting with internal customers to drive validation trials, implement process improvements, and integrate machine learning into current production.

Requirements

• A MS or PhD Degree from an accredited university in Data Science, Computer Science, Computer Engineering, Mathematics, Statistics, Analytics, or related.
• Minimum of 2 years of experience in advanced data science or machine learning required.
• Demonstrated success applying advanced statistical methods and machine learning algorithms to production/field data using Python or R.

Nice-to-haves

• 5+ years of professional data science or machine learning experience.
• Manufacturing / industrial plant experience.
• Experience in applying advanced data and statistical analysis methods to industrial manufacturing data.
• Familiarity with visualization tools: Power BI, Tableau.
• Experience with engineering data tools: SQL, SAS, Minitab, JMP, MS Excel, Six Sigma.
• In-depth knowledge of advanced analytic and machine learning techniques.
• Strong verbal and written communication skills.
• Excellent analytical skills.
• Ability to work in a self-directed AND cross-functional team environment.
• Strong organizational skills.