Data Science Innovator

2 days ago

Chennai, Tamil Nadu, India beBeeMachineLearning Full time US$ 1,80,000 - US$ 2,50,000
Job Title

The Lead Data Scientist position involves spearheading the development of advanced AI/ML solutions across various domains.

  • Architect and deploy end-to-end ML pipelines leveraging state-of-the-art deep learning, NLP, time-series modelling, and image analysis techniques.
  • Design 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 ML 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:
  • A graduate/post-graduate from a Tier-I institute 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 (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.
What We Offer:
  • A dynamic work environment that fosters innovation and collaboration.
  • Opportunities for professional growth and development.
  • Competitive compensation and benefits package.

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