Senior Retail AI Architect

2 days ago

Anand, Gujarat, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Unlock Retail Excellence with AI

Spearheading innovation in the retail and e-commerce landscape, you will design, develop, and deploy cutting-edge AI systems that drive measurable business impact. Empower businesses to thrive by leveraging data-driven real-time competitive insights.

At the forefront of this revolution, you'll lead initiatives in agentic AI, LLMs, computer vision, and neural architectures, building autonomous, intelligent pipelines that continuously learn, adapt, and optimize decision-making for retail intelligence at scale.

  • 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, image-based search, and content QA.
  • 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.

Required Skill Set:

  • 10+ years of proven experience in Data Science with leadership responsibilities.
  • Strong programming skills in Python (preferred) 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).
  • Experience with LLMs and Agentic AI, including fine-tuning and deploying LLMs at scale.
  • Strong foundation in data engineering and scalable systems (Spark, Airflow, Kafka, or similar).
  • Deep domain expertise in retail & e-commerce ecosystems (pricing, assortment, personalization, catalog intelligence).
  • Demonstrated experience in mentoring and leading teams.
  • Advanced degree (PhD preferred) in Computer Science, ML/AI, or related field.

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