Data Innovator

3 days ago


Mount Abu, Rajasthan, India beBeeMachineLearning Full time ₹ 1,20,00,000 - ₹ 1,50,00,000
About Us

At our organization, we are shaping the future of technology by pushing the boundaries of innovation.

We believe in fostering a culture that is inclusive, innovative and collaborative. Our diverse team is passionate about creating cutting-edge solutions that make a real difference in people's lives.

We are driven by a shared vision to revolutionize the way India experiences property, and we are committed to making this vision a reality through our work.

Our company values include being forward-thinking, customer-centric, agile, accountable and empowering. We strive to create an environment that allows our employees to grow professionally and personally, while also contributing to the success of our organization.

We believe that every employee has the potential to be a leader, and we provide opportunities for growth and development to help our employees achieve their full potential.

Our company is proud to be an equal opportunity employer, welcoming talented individuals from all backgrounds to join our team.

Job Description

As a Lead Data Scientist, you will play a key role in driving cutting-edge innovation by embracing a comprehensive approach to machine learning.

You will have the opportunity to work across all aspects of machine learning, including predictive models, time-series forecasting, recommender systems, computer vision, and Gen AI-powered agents.

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

  • Spearhead applied research and development of advanced AI/ML solutions across domains, including recommender systems, computer vision, speech processing, and generative AI agents
  • Architect and deploy end-to-end ML pipelines leveraging state-of-the-art deep learning, NLP, time-series modeling, 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

To be successful in this role, you will need:

  • A graduate/post-graduate degree from a top-tier institution with 5-8 years of experience in AI/ML, spanning NLP, deep learning, computer vision, and image processing
  • 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 modeling, 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
What We Offer

We offer a competitive compensation package, including:

  • A highly competitive salary and bonus structure
  • Opportunities for professional growth and development
  • A dynamic and inclusive work environment
  • Recognition and rewards for outstanding performance
  • Flexible working hours and remote work options

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