Tesseract Jobs (NOW HIRING)

Job Summary:
Caterpillar Inc. is the world’s leading manufacturer of construction and mining equipment, committed to building a better, more sustainable world. The Lead Data Scientist will drive the development and integration of digital twins and GenAI-assisted predictive analytics for condition monitoring of Caterpillar equipment.
Responsibilities:
• Design and implement GPU-accelerated machine learning models (e.g., XGBoost, autoencoders, and GANs using Tesseract) to identify fault patterns in timeseries sensor data.
• Partner with engineering teams to develop onboard digital twins using NVIDIA architecture (e.g. PhysicsNeMo) to simulate, predict, and optimize the performance of heavy machinery
• Profile and tune deep learning algorithms for maximum efficiency on NVIDIA GPU architectures, ensuring high throughput and low latency for real-time monitoring.
• Adapt and test algorithms for onboard architecture, leveraging tools like NVIDIA Jetson for ROM generation and real-time edge processing on Cat equipment.
• Collaborate with hardware / simulation engineers to ensure algorithm compatibility with next-generation processors and specialized onboard compute modules.
• Use high-fidelity digital twins to simulate rare failure scenarios, ensuring the GenAI assistant provides accurate troubleshooting steps for edge-case mechanical issues.
• Develop Generative AI agents that synthesize telematics data to generate prioritized repairs for identified machine faults.
• Integrate multi-modal outputs from condition monitoring analytics & asset life history to create a machine-specific context for AI assistant.
Qualifications:
Required:
• Typically, a Bachelors, Masters, or PhD degree in Applied Statistics, Data Science, Business Analytics, Predictive Analytics, Business Intelligence & Analytics, Mathematics, Computer Science, Engineering (Aerospace, Electrical, Mechanical, Computer, Industrial, Agricultural, etc.), or equivalent technical degree
• Extensive experience applying Python (NumPy, SciPy, pandas, etc.) programming to solve business challenges.
• Extensive experience with advanced data analysis, machine learning such as clustering, Log regressions, neural nets and statistical methods such as statistical process control, etc. (typically 8+ years)
• Experience in practical applications of onboard architecture / software (e.g. mini projects using Raspberry Pi or any other architecture is a bonus)
• Working experience with heavy equipment engineering or data analysis.
• Working knowledge with cloud technologies (AWS, Azure, Google Cloud, etc.)
• Advanced experience with version control / repositories such as GitHub
• Experience operating in an Agile environment
• Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively.
Preferred:
• Generative AI & LLMs: Proficiency in Fine-tuning and Prompt Engineering for Large Language Models, specifically using Retrieval-Augmented Generation (RAG)
• Condition Monitoring Algorithms: Deep understanding of Anomaly Detection, Time-Series Analysis, and Predictive Maintenance models.
• Telematics: Experience handling high-frequency IoT sensor data, CAN bus protocols (J1939), and integrating with unified data platforms
• Experience with High performance computing
• Business Statistics: Extensive experience with statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.
• Analytical Thinking: Extensive knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
• Programming Languages: Extensive knowledge of basic concepts and capabilities of applying Python programming to solve business challenges; ability to use tools, techniques and platforms in order to write and modify programming languages.
• Requirements Analysis: Working knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project.
Company:
For 100 years, we’ve been helping customers build a better, more sustainable world. Founded in 1925, the company is headquartered in Peoria Heights, USA, with a team of 10001+ employees. The company is currently Late Stage.