Chief AI Strategist

7 hours ago

Belgaum, Karnataka, India beBeeData Full time ₹ 2,00,00,000 - ₹ 3,50,00,000
Advanced AI Leader

At the forefront of innovation, we are building a future-ready combined solution for companies navigating the complexities of today's commerce landscape.

You will spearhead the application of advanced AI/ML in the retail and e-commerce space.

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:
  • Guide & Mentor: Foster innovation and best practices in AI/ML within a team of data scientists.
  • 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 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, and multimodal models.
Requirements:
  • 10+ years of experience in Data Science with leadership responsibilities.
  • Strong programming skills in Python or C++, with expertise in ML frameworks.
  • Deep expertise in transformers, BERT, GPT-based architectures, and neural networks.
  • Hands-on experience in computer vision and multimodal embeddings.
  • Experience with LLMs and Agentic AI, including fine-tuning and deploying LLMs, building multi-agent AI systems, and retrieval-augmented generation pipelines.
  • Strong foundation in data engineering and scalable systems.
  • Deep domain expertise in retail & e-commerce ecosystems.
  • Demonstrated experience in mentoring and leading teams.
  • Advanced degree in Computer Science, ML/AI, or related field.

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