Chief Analytics Innovator

1 day ago

Ahmedabad, Gujarat, India beBeeDataScience Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
Lead Data Scientist Role

We are seeking an accomplished Lead Data Scientist to spearhead the development of cutting-edge AI and machine learning solutions.

  • This highly skilled professional will be responsible for leading applied research and innovation across various domains, including recommender systems, computer vision, speech processing, and generative AI agents.
  • The successful candidate will possess a strong background in architecting and deploying end-to-end ML pipelines, leveraging state-of-the-art deep learning, NLP, time-series modelling, and image analysis techniques.
  • Key responsibilities include designing scalable, maintainable AI/ML platforms that deliver robustness, reliability, and alignment with business objectives, as well as partnering with engineering, design, and product teams to operationalize ML models.
  • This leader will provide ML thought leadership, guiding high-performing teams, enforcing best practices from experimentation through production deployment, and shaping AI strategy to drive data-driven decision-making.
  • Requirements:
  • A graduate or post-graduate degree from a reputable institution, with 5–8 years of applied experience in AI/ML, spanning NLP, deep learning, computer vision, image processing, and 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 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.

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