Assistant Raspberry Pi Jobs in Chicago, IL (NOW HIRING)

Job Summary:
Caterpillar Inc. is a global leader in manufacturing construction and mining equipment, and they are seeking a Lead Data Scientist to support the development and integration of digital twins for condition monitoring and generative AI assisted predictive analytics. The role involves designing machine learning models, collaborating with engineering teams, and developing AI agents to enhance the performance and reliability of heavy machinery.
Responsibilities:
• Design and implement GPU-accelerated machine learning models (e.g., XGBoost, autoencoders, and GANs) to identify irregular patterns in high-frequency sensor data.
• Partner with engineering teams to develop onboard digital twins using NVIDIA architecture 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 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
• Work with multiple business partners in AI, digital application, product design & component groups to embed condition monitoring creating an end-to-end workflow / ecosystem
• Be a technical lead on multiple complex projects with assistance of junior team members
• Provide a monthly status update to sponsors & stakeholders for the overall program highlighting recent achievements & next steps to deliver on the roadmap.
Qualifications:
Required:
• 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.
Preferred:
• 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
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.