Caterpillar Inc. is looking to integrate world-class Generative AI capabilities into their products and services.
Requirements
- Knowledge of the 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.
- 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.
- Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
- Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages.
- 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.
- Experience with Python libraries such as LangGraph, and LangChain
- Experience with AWS Sagemaker or similar
- Ability to evaluate generated content from Large-Language Models (LLM)
Responsibilities
- Designing, implementing, and optimizing models used in generative AI solutions
- Staying updated with the latest advancements in AI and machine learning algorithms and integrating them into the team's projects.
- Conducting experiments to test the performance of different models and approaches, and iterating based on the results.
- Agentic GenAI solution research and best approach to implement solutions
- Providing guidance and mentorship to junior data scientists and other team members.
Other
- This position has the option to be based out of either our Chicago, IL, Peoria, IL, or Irving, TX (Dallas) offices.
- Any offer of employment is conditioned upon the successful completion of a drug screen.
- Visa sponsorship is available for eligible applicants.
