Chief Retail Intelligence Engineer

3 days ago

Kottayam, Kerala, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Opportunity:

We are seeking a highly experienced Senior Data Scientist to spearhead the application of advanced AI/ML in the retail and e-commerce space.

Your responsibilities will include leading initiatives in agentic AI, LLMs, computer vision, and neural architectures.

Main 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, agent integration).
  • 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 Expertise:

  • 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, and retrieval-augmented generation pipelines.
  • Strong foundation in data engineering and scalable systems (Spark, Airflow, Kafka, or similar).
  • Deep domain expertise in retail & e-commerce ecosystems.
  • Demonstrated experience in mentoring and leading teams.
  • Advanced degree (PhD preferred) in Computer Science, ML/AI, or related field.

Preferred Attributes:

  • Experience with agentic AI frameworks.
  • Strategic thinker who thrives at the intersection of cutting-edge AI and business impact.
  • Excellent communication skills to bridge technical and non-technical teams.
  • Passion for building AI systems that redefine the future of retail intelligence.

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