Key accountabilities:

• Work on a team designing innovative software and algorithms to solve real-world problems in industrial processes. Use machine learning techniques, statistical tests, classical algorithms, and physically-motivated models as appropriate
• Perform in-depth exploratory analysis of data from the field and laboratory experiments
• Acquire domain knowledge about mechanical systems to aid in interpretation, analysis, and model building. Display drive and curiosity to understand the business to its core
• Develop applications according to requirements using a variety AI/ML and analytical techniques
• Maintain and update the analytics software platform (Python)
• Establish best practices around AI/ML production infrastructure, including building robust data pipelines and implementing MLOps
• Keep abreast of developments in the field
• Collaborate with engineering and product de...