Data Scientist Leader

1 day ago

Thiruvananthapuram, Kerala, India beBeeLeadership Full time US$ 2,00,000 - US$ 2,50,000
Senior AI Researcher and Leader

We are seeking a highly skilled Senior AI Researcher and Leader to spearhead our cutting-edge innovation in machine learning.

This is a unique opportunity to broaden your skill set and make an impact at scale, working with diverse exposure to ML technologies.

You will be responsible for architecting and deploying end-to-end ML pipelines using state-of-the-art deep learning, NLP, time-series modelling, and image analysis techniques.

The ideal candidate will 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.

  • Key Responsibilities:
    • Develop and deploy AI/ML solutions across various domains, including recommender systems, computer vision, speech processing, and generative AI agents.
    • Leverage state-of-the-art ML frameworks, such as TensorFlow, PyTorch, and scikit-learn, to build scalable and maintainable AI/ML platforms.
    • Collaborate with cross-functional teams to ensure seamless integration of ML models and measurable business impact.
    • Lead high-performing teams and provide ML thought leadership, enforcing best practices throughout the development lifecycle.
    • Contribute to shaping AI strategy and guiding data-driven decision-making to drive product innovation and operational excellence.

Requirements:

We are looking for a 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 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.

Preferred Qualifications:

  • 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 passion for solving complex problems with the courage to take research risks and drive innovation.

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