AI Driven Retail Strategist

2 days ago

Lucknow, Uttar Pradesh, India beBeeData Full time ₹ 2,00,00,000 - ₹ 3,00,00,000
Unlock Retail Excellence with AI-Powered Solutions

Businesses need strategic insights to drive product-level profitability and grow margins in real-time. At the forefront of retail intelligence, we empower companies to navigate the complexities of today's commerce landscape.

Our cutting-edge technology aggregates and analyzes billions of data points across 1900 retail categories in 34 global markets. This comprehensive suite of solutions encompasses product matching, digital shelf analytics, assortment & availability, pricing & promotions, and brand compliance.

We provide a future-ready solution for companies seeking to leverage data-driven insights and stay ahead of emerging trends.

Key Responsibilities:
  • Lead & Mentor: Guide a team of data scientists, fostering innovation and best practices in AI/ML.
  • Agentic AI & Multi-Agent Systems: Explore, design, and deploy agentic AI architectures (multi-agent collaboration, autonomous decision-making, orchestration frameworks).
  • LLM Innovation: Experiment with and operationalize Large Language Models (RAG pipelines, fine-tuning, prompt optimization, domain adaptation).
  • Computer Vision & Multimodal AI: Advance product recognition, OCR, embedding-based similarity, and visual transformers to improve catalog accuracy.
  • Scalable Systems: Architect and deploy robust data pipelines and real-time AI services that handle large-scale retail/e-commerce datasets.

Cross-Functional Collaboration: Partner with product managers, engineers, and business leaders to design AI solutions aligned with customer needs and revenue goals.

Thought Leadership: Stay ahead of emerging trends in LLMs, agentic AI, generative AI, multimodal models, and translate them into practical solutions for retail.

Requirements:
  • 10+ years of proven experience in Data Science with leadership responsibilities.
  • Strong programming skills in Python or C++, with expertise in ML frameworks (PyTorch, TensorFlow, Hugging Face).
  • Deep expertise in transformers, BERT, GPT-based architectures, and neural networks.
  • Hands-on experience in computer vision (CNNs, visual transformers, OCR, multimodal embeddings).

Demonstrated experience in mentoring and leading teams.

Advanced degree (PhD preferred) in Computer Science, ML/AI, or related field.

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