Back
Tier-1 brand plus metro location with specialized GenAI skills creates moderate competition.
Deep ML/GenAI and productionization expertise required, so candidate fit is highly domain-sensitive.
Explicit 8+ years plus mandatory ML/GenAI, production and tooling skills make filtering strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead design, development, deployment, and maintenance of scalable AI/ML models and tools focused on retail item data management covering catalog management, attribute enrichment, taxonomy prediction, and data quality.
Drive implementation and productionization of advanced generative AI technologies including GenAI, large language models (LLMs), computer vision, classical machine learning, deep learning, and agentic AI workflows.
Lead and mentor data science teams, collaborate with cross-functional partners and AI/ML engineers to build high-impact item intelligence platforms improving product onboarding, search, recommendations, and merchandising.
8+ years of relevant experience in data science or related fields with demonstrated leadership capability.
Bachelor’s, Master’s or PhD in Mathematics, Statistics, Computer Science, or related discipline.
Strong programming skills in Python, SQL, Hadoop/Hive, and experience with deep learning frameworks such as PyTorch or TensorFlow.
Exposure to programmatic use of generative AI/LLMs and productionizing AI/ML solutions.
Experienced leader capable of guiding and mentoring a team of data scientists working on advanced AI/ML solutions in a large-scale retail environment.
Practitioner with hands-on expertise in developing and deploying complex AI/ML systems involving GenAI, LLMs, deep learning, and computer vision to solve real-world item data challenges.
Comfortable in a collaborative, multi-geography setting, able to produce clean modular code following software engineering best practices and meet tight deadlines.