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Senior AI/ML Strategist

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Davangere, Karnataka, India beBeeArtificial Full time ₹ 1,80,00,000 - ₹ 2,00,00,000
Senior AI/ML Strategist

We are seeking a seasoned Senior AI/ML Strategist to spearhead our cutting-edge innovation in machine learning. This role offers a unique opportunity to work across various ML technologies and drive business impact.

About the Role

In this position, you will be responsible for:

  • Spearheading applied research and development of advanced AI/ML solutions across domains including recommender systems, computer vision, speech processing, and generative AI agents
  • Architecting and deploying end-to-end ML pipelines leveraging state-of-the-art deep learning, NLP, time-series modelling, and image analysis techniques
  • Designing scalable, maintainable AI/ML platforms that deliver robustness, reliability, and alignment with enterprise objectives
  • Partnering with engineering, design, and product teams to operationalize ML models, ensuring seamless integration and measurable business impact
  • Providing ML thought leadership and leading high-performing teams, enforcing best practices from experimentation through production deployment
  • Shaping AI strategy and guiding data-driven decision-making, influencing product innovation and operational excellence across the organization
Required Skills and Qualifications

To succeed in this role, you should have:

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

You will enjoy a dynamic work environment, opportunities for growth and professional development, and a competitive compensation package.

Others

Please submit your resume and cover letter to apply for this exciting opportunity.