Retail AI/ML Expert

5 days ago

Vizag, Andhra Pradesh, India beBeeData Full time ₹ 2,50,00,000 - ₹ 3,50,00,000

As a seasoned AI/ML expert, you will spearhead the development of cutting-edge technologies that drive business value in retail and e-commerce. Your mission is to design, build, and deploy next-generation AI systems that deliver measurable impact.

You will lead initiatives in agentic AI, Large Language Models (LLMs), computer vision, and neural architectures, crafting 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 LLMs (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 and image-based search.
  • 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 Skills & Qualifications:

  • 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).
  • Experience with LLMs and Agentic AI, including:
    • Fine-tuning and deploying LLMs at scale.
    • Building multi-agent AI systems (orchestration, role-based agents, autonomous workflows).
    • Retrieval-Augmented Generation (RAG) pipelines.
  • 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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