Machine Learning Prognostics Engineer for Industrial Equipment
2 days ago
About IntelliPredikt Technologies
We are a cutting-edge technology company that leverages data-driven solutions to provide innovative prognostics systems for connected industries. Our mission is to enable scalable intelligent prognostics systems for vehicles and machines.
Job Summary
The Machine Learning Prognostics Engineer will play a critical role in developing a modular library of algorithms and models that will be deployed as part of our PHM Library/Platform. This individual will work with a wide variety of customers in the manufacturing industries, contributing to the end-to-end process from data collection to analytics results.
Key Responsibilities
- Developing physics models of industrial equipment such as CNC machines, robots, valves, and pumps typically found in process/manufacturing industries.
- Designing and implementing algorithms for online fault detection, diagnostics, and prognostics.
- Validating models and algorithms with various data sources, including simulated data, experimental data, and customer data.
- Directing experimental lab tests, defining test plans, determining data collection requirements, post-processing data, and reporting results.
- Documenting technical information and communicating it to R&D team members, sales, marketing, management, and external stakeholders.
- Supporting the definition and delivery of customer solutions, including instrumentation requirements, algorithm specifications, technical proposals, etc.
- Collaborating closely with software and hardware engineering teams to ensure algorithms are appropriately deployed in production environments.
- Working with a diverse set of individuals, including modeling scientists, data scientists, software and hardware engineers, sales engineers, plant operators, and manufacturing industry executives.
Requirements
- M.tech or Ph.D. in an engineering field (mechanical or CSE engineering preferred, Ph.D. preferred) with at least 3 years of experience in predictive maintenance or condition monitoring algorithm development for process/manufacturing industries.
- Familiarity with mechanical system modeling and optimization, computational physics (CFD/FEA/Multiphysics) applied to industrial equipment, and programming experience in Python, Matlab, or similar scientific computing languages.
- Experience with production software development tools and concepts, including CI/CD pipelines, functional and unit tests, source control systems, object-oriented design, integrated development environments, debugging tools, and applied knowledge of data science methods.
Salary Range: $120,000 - $180,000 per year, depending on qualifications and experience.
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