Machine Learning Engineer

Responsibilities:

• Build and refine machine learning algorithms to enhance Howmet products across all business units.
• Design, develop, and evaluate advanced deep learning architectures (e.g., CNNs, Mask R-CNNs, YOLO) to address complex manufacturing challenges.
• Train and optimize generative models to accelerate development.
• Construct, manipulate, and analyze large datasets using tools such as Python and SQL.
• Fine tune existing models for specific applications and datasets.
• Develop customized deep learning architectures to handle diverse data types.
• Conduct statistical multi-factor analyses to uncover complex relationships and improve manufacturing processes.
• Identify opportunities to optimize processes and implement continuous improvement tools using machine learning.
• Promote a data-driven culture across the organization by expanding machine learning applications and leading training initiatives.

Basic Qualifications:

• MS or PhD degree in related fields is prefered.
• 0- 2 years of hands-on experience in deep learning and machine learning
• Theoretical understanding and practical experience applying reinforcement learning techniques for real time decision making and control.
• Collaboration and communication skills — able to work cross-functionally but not dependent on business-side facilitation.