Chief Data Strategist

10 hours ago


Jodhpur, Rajasthan, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Title:

Achieving Data Innovation

Overview

The ideal candidate will lead cutting-edge data science initiatives, spearheading advanced AI/ML solutions across diverse domains, including recommender systems, computer vision, speech processing, and generative AI agents.

Key Responsibilities
  • Design, develop, and deploy end-to-end ML pipelines leveraging state-of-the-art deep learning, NLP, time-series modelling, and image analysis techniques.
  • Develop scalable, maintainable AI/ML platforms that deliver robustness, reliability, and alignment with enterprise objectives.
  • Partner with engineering, design, and product teams to operationalize ML models, ensuring seamless integration and measurable business impact.
  • Provide thought leadership and lead high-performing teams, enforcing best practices from experimentation through production deployment.
  • Shape AI strategy and guide data-driven decision-making, influencing product innovation and operational excellence across the organization.
Requirements
  • Graduate/Post-graduate from Tier-I institutes (IITs, IIITs, NITs) with 5–8 years of applied experience in AI/ML, spanning NLP, deep learning, computer vision, image processing, and with introductory experience in building or fine-tuning generative AI models.
  • Proven leadership (2+ years) in leading teams and driving ML projects, with a track record of building strong Data Science practices and fostering high-performance culture.
  • Advanced ML Expertise: Proficiency in ML frameworks (TensorFlow, PyTorch, Keras, scikit-learn) and Python, with hands-on experience in deep learning architectures (Transformers, CNNs, RNNs, LSTMs), statistical modelling, and scalable deployment using distributed systems (e.g., Spark, Hadoop).
  • Generative AI & Applied Innovation: Practical experience with LLM fine-tuning, RAG pipelines, embeddings, and prompt engineering; familiarity with GenAI ecosystems (LangChain, Langraph, Pinecone, CrewAI) and integration into production applications.
  • End-to-End Impact & Collaboration: Strong background in data wrangling, feature engineering, and MLOps, combined with proven ability to collaborate across engineering, product, and business teams and communicate complex concepts effectively.
  • A passion for solving complex problems with the courage to take research risks and drive innovation.

Preferred Qualifications

  • Expertise in Explainable AI (XAI) and model interpretability.
  • Familiarity with cloud-based services and containerization technologies (Docker, Kubernetes).

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