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Job Description
Structured overview of role & requirementsAbout This Role
Lead development and deployment of AI/ML/LLM search models for Caterpillar’s eCommerce parts platform focused on scalability and performance.
Define and implement technical strategy for search platform including NLP, vector search, and personalization features to improve user search relevance and accuracy.
Mentor and guide search engineering team, collaborate cross-functionally to align search capabilities with business objectives, and use KPIs to optimize search performance.
Minimum Requirements
Experience applying Search AI/ML models in large industrial, automobile, or manufacturing parts environments (e.g., Learning-Rank, Lambda MART, Deep Ranking).
Proficiency in Fine-tuning and Prompt Engineering for Large Language Models, including Retrieval-Augmented Generation and Semantic Retrieval techniques.
Strong programming skills in Python with libraries like NumPy, SciPy, pandas, plus experience with cloud platforms (AWS/Azure/GCP) and MLOps for model deployment.
Work Experience Required: Typically 5+ years in advanced data analysis, machine learning, or related roles in heavy equipment or industrial data contexts.
Ideal Candidate Profile
Seasoned data scientist with leadership experience in building and scaling search AI/ML platforms, including hands-on model development and strategic platform design.
Background in industrial or manufacturing data domains, especially related to automotive/heavy equipment parts, understanding complex engineering data relationships for search relevance.
Experienced in agile environments with ability to lead teams and collaborate across product, data science, and engineering functions to deliver measurable business impact.