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Mid-level ML lead at a strong global brand in Bangalore with a common data-science title increases competition.
Strong search/LLM and MLOps focus means skills are transferable, but domain experience in industrial parts is advantageous.
Explicit 5+ years plus specialized search/LLM, MLOps, and deployment requirements make screening stringent.
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Own the end-to-end design, development, and deployment of scalable AI/ML/LLM search algorithms for Caterpillar's eCommerce platform focused on aftermarket parts and services.
Lead and mentor a team of search engineers, driving technical strategy to enhance search relevance, personalization, and performance based on KPIs such as CTR and query distribution.
Collaborate cross-functionally with product managers, data scientists, and engineers to align search AI initiatives with business objectives and improve user experience through continuous data analysis and model optimization.
Experience Required: Typically 5+ years of advanced machine learning and data science experience, including practical deployment of search-related ML models in industrial or manufacturing parts contexts.
Education: Bachelor's, Master's, or PhD in Applied Statistics, Data Science, Business Analytics, Mathematics, Computer Science, Engineering, or equivalent technical degree.
Technical Skills: Proficiency in Python programming with libraries such as NumPy, SciPy, pandas; experience with AI/ML models relevant to search (Learning-Rank, Lambda MART, Deep Ranking Models); knowledge in generative AI, LLM fine-tuning, prompt engineering, and cloud ML platform deployment (AWS/Azure/GCP).
Work Authorization: Caterpillar is not sponsoring employment visas for this position in India.
Senior data science professional with strong expertise in developing and deploying search AI/ML algorithms specifically for large-scale industrial or manufacturing parts applications.
Experienced leader comfortable managing and mentoring engineers while defining long-term technical strategies for AI-powered search platforms in a complex, enterprise eCommerce environment.
Technical operator with hands-on experience in advanced search algorithms involving NLP, vector search, personalization, and optimization using behavior modeling and generative AI techniques on cloud platforms.