Responsibilities
- Algorithm Development: Design and train models to solve specific physical problems (e.g., machine uptime detection or production count prediction).
- Signal Processing: Apply statistical methods to raw time-series data to extract meaningful features and reduce noise.
- Validation: Define and monitor metrics (accuracy, recall, precision) to validate model performance on real-world data before and after deployment.
- Model Serving: Develop and maintain RESTful APIs (using frameworks like FastAPI) to expose your models for real-time inference.
- Production Standards: Write clean, modular, and testable Python code. You are expected to use version control, write unit tests, and follow software design patterns.
- Performance Optimization: Profile and optimize model inference code to ensure low latency and efficient resource usage.
Requirements
- Education: Bachelor’s degree in Computer Science, Mathematics, Physics, Statistics, or Engineering.
- Modeling Core: Strong grasp of probability, statistics, and linear algebra. Practical experience with Time-Series Analysis and Signal Processing.
- Python Proficiency: Advanced knowledge of Python and the data science stack (Pandas, NumPy, Scikit-Learn, PyTorch/TensorFlow).
- Software Engineering: Experience writing production-grade software. You must be comfortable with Object-Oriented Programming (OOP) and writing API endpoints.
- Testing: Habitual use of testing frameworks (e.g., PyTest) to ensure algorithmic stability.
- Data Handling: Proficiency with SQL for data querying and analysis.
Bonus Points
- Experience with OEE (Overall Equipment Effectiveness) or industrial manufacturing data.
Top Skills
What We Do
Tractian is a machine intelligence company that offers industrial monitoring systems. Tractian builds streamlined hardware-software solutions to give maintenance technicians and industrial decision-makers comprehensive oversight of their operations. It is democratizing access to sophisticated real-time monitoring and asset operations tools.
Tractian's solutions are used in environments that address a combined total of 5% of global industrial output. The company’s broad market reach is evidenced in its customer base from various industries, such as John Deere, Procter & Gamble, Caterpillar, Goodyear, Carrier, Johnson Controls, and Bimbo, the owner of the brands Little Bites and Thomas Bagels. Tractian's customers see a 6-12x ROI with savings of $6,000 per monitored machine annually on average.
In a major milestone and a first for the industry, Tractian launched the AI-Assisted Maintenance category in the industrial sector. In this new paradigm, artificial intelligence identifies machine problems and suggests preventive actions to be taken, giving invaluable insight and support to maintenance professionals. It is important to highlight that the intent of Assisted Maintenance is firmly rooted in augmenting maintenance professionals to provide more assertive diagnosis with human-in-the-loop feedback.
Tractian's mission is to elevate this category of workers in a highly impactful way. The Assisted Maintenance category will provide unimaginable support for maintenance professionals. By combining shop floor expertise with our technology, maintainers will be able to anticipate and address issues with unprecedented accuracy and speed
