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Tier-1 brand and metro location increase generic interest, but senior specialization moderates applicant density.
Role requires deep ML/LLM experience and production deployment, so backgrounds must be ML-focused.
Mandatory 8+ years plus specific ML, programming and productionization skills enforce a high shortlisting threshold.
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Lead design, development, deployment, and maintenance of generative AI and deep learning models with business impact in retail.
Analyze large datasets to generate insights and improve business processes or develop solutions, focusing on multimodal LLMs and model fine-tuning.
Guide software development practices, produce clean code, and oversee troubleshooting for ML models and tools across teams.
8+ years of relevant experience including leading a team of data scientists.
Bachelor’s, Master’s, or PhD in Mathematics, Statistics, Computer Science, or related field.
Strong programming skills in Python, SQL, Hadoop/Hive; experience with PyTorch or TensorFlow.
Experience with generative AI/LLMs platform development and deployment; working knowledge of data analysis and software development best practices.
Experienced leader capable of guiding and mentoring data scientists in a cross-geography environment.
Proven ability to design and productionize advanced generative AI solutions with measurable business impact.
Skilled in modular software engineering and collaborating across diverse teams on scalable AI products.