Machine Learning Strategist

4 days ago

Jaipur, Rajasthan, India beBeeInnovator Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Title

A visionary leader is sought to spearhead cutting-edge innovation in machine learning, driving a comprehensive approach that spans predictive models, time-series forecasting, recommender systems, computer vision, and Gen AI-powered agents.

About the Role:
  • Develop advanced AI/ML solutions across domains, including recommender systems, computer vision, speech processing, and generative AI agents.
  • Design and deploy end-to-end ML pipelines leveraging state-of-the-art deep learning, NLP, time-series modelling, and image analysis techniques.
  • Create scalable, maintainable AI/ML platforms that deliver robustness, reliability, and alignment with enterprise objectives.
  • Collaborate 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.

We are looking for an exceptional candidate with a graduate/post-graduate degree from a top-tier institute and 5–8 years of applied experience in AI/ML, spanning NLP, deep learning, computer vision, image processing, and 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.

This role offers opportunities for professional growth, collaboration, and innovation in a dynamic environment. If you are a driven individual with a passion for machine learning, we encourage you to apply.

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