Machine Learning Engineer

Howmet - Whitehall, MI

Full-time

Remote - Whitehall, MI

Fabricated Metal Product Manufacturing

About the position

Howmet Aerospace is seeking a Machine Learning Engineer to join our Research and Development group. This role is pivotal in supporting Howmet's casting, alloy, core, and rings facilities through the application of advanced machine learning techniques. The successful candidate will work in a collaborative, cross-functional team environment, focusing on the evaluation, development, and testing of Artificial Intelligence and Machine Learning applications and solutions. In this position, you will be responsible for developing and optimizing machine learning algorithms that enhance Howmet products across all business sectors. You will construct and manipulate large datasets using various tools such as Python, R, SAS, SQL, Minitab, and PowerBI. This will involve extracting multi-factor and complex interactions to drive improvements in manufacturing processes. Additionally, you will be tasked with solving operational, quality, and engineering problems by leveraging big data and image sets. A key aspect of this role is identifying opportunities for continuous improvement through the deployment of machine learning tools. You will also play a crucial role in fostering a data-driven culture within the organization by expanding applications and providing training. Interaction with internal customers will be essential as you drive validation trials, implement process improvements, and integrate machine learning into current production workflows.

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, to extract multi-factor and complex interactions to drive improvements in manufacturing.
• 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.
• Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.

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.
• Visualization tools: Power BI, Tableau.
• 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.