AI Strategist

1 day ago

Jaipur, Rajasthan, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Title: Senior Data Scientist

We are seeking a highly skilled and experienced Senior Data Scientist to lead our efforts in developing and deploying advanced AI/ML solutions. The ideal candidate will have a strong background in data science, with a proven track record of driving business impact through data-driven insights.

The successful candidate will spearhead the application of advanced AI/ML techniques in the retail and e-commerce space, designing and deploying next-generation AI systems that drive measurable business results.

This is an exciting opportunity for a senior data scientist to take on a leadership role, guiding a team of data scientists and fostering innovation and best practices in AI/ML.

Key Responsibilities:
  • Lead & Mentor: Guide a team of data scientists, providing guidance and mentorship to ensure they are equipped to tackle complex AI/ML challenges.
  • Agentic AI & Multi-Agent Systems: Explore, design, and deploy agentic AI architectures, including multi-agent collaboration, autonomous decision-making, and orchestration frameworks.
  • LLM Innovation: Experiment with and operationalize Large Language Models, including RAG pipelines, fine-tuning, prompt optimization, domain adaptation, and agent integration.
  • Computer Vision & Multimodal AI: Advance product recognition, OCR, embedding-based similarity, and visual transformers.
  • Scalable Systems: Architect and deploy robust data pipelines and real-time AI services.
  • 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.
Required Skills and Qualifications:
  • A minimum of 10 years of 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).
  • Demonstrated experience in mentoring and leading teams.
  • An advanced degree (PhD preferred) in Computer Science, ML/AI, or related field.

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