Back
Tier-1 brand, metro location, and a high-visibility ML lead role drive strong candidate competition.
Role demands deep NLP/LLM and agentic AI expertise, limiting straightforward cross-industry portability.
Explicit 7+ years plus mandatory ML/LLM, production, cloud, and leadership requirements make screening strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead design, development, and productionization of AI/ML systems focused on Competitive Product Classification, Matching, and Validation.
Own technical strategy, influence roadmaps, set quality standards, and drive execution with a team of scientists and engineers.
Architect scalable end-to-end solutions integrating AI/ML models, experimentation pipelines, and engineering infrastructure including transformer models and retrieval-augmented generation (RAG) systems.
7+ years of professional data science/applied ML experience with production AIML systems and measurable business impact.
Bachelor's degree in a quantitative discipline (Science, Technology, Engineering, Mathematics) or equivalent experience.
Expertise in modern ML techniques including deep learning, NLP, GenAI, Agentic AI (Transformers, LLMs, RAG, multi-agent systems).
Strong hands-on programming skills in Python, SQL, Spark, and cloud platform experience (GCP or similar).
Experienced in leading complex, ambiguous AI/ML projects end-to-end with cross-functional teams and influencing stakeholders.
Domain expertise in NLP, deep learning, GenAI/Agentic AI applied to e-commerce or large-scale retail product matching/classification.
Proven ability to build scalable, reliable AIML systems integrating advanced techniques such as LLM adaptation, prompt engineering, and retrieval-augmented workflows.