Chief Artificial Intelligence Engineer

4 days ago

Hubli, Karnataka, India beBeeMachineLearning Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Lead Data Science Strategist

We are driving cutting-edge innovation by embracing a comprehensive approach to machine learning. Our unique opportunity allows you to work across all aspects of machine learning, from predictive models, time-series forecasting, and recommender systems, to computer vision and AI-powered agents.

This diverse exposure to a range of ML technologies is a chance to broaden your skill set and make an impact at scale. You will have the opportunity to spearhead applied research and development of advanced AI/ML solutions, architect and deploy end-to-end ML pipelines, and design scalable, maintainable AI/ML platforms.

Main Responsibilities:

  • Develop innovative AI/ML solutions leveraging state-of-the-art deep learning, NLP, time-series modelling, and image analysis techniques.
  • 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.

Requirements:

  • Bachelor's/Master's degree from a top-tier institute with 5-8 years of experience in AI/ML, including NLP, deep learning, computer vision, 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, statistical modelling, and scalable deployment using distributed systems.
  • Generative AI & Applied Innovation: Practical experience with LLM fine-tuning, RAG pipelines, embeddings, and prompt engineering; familiarity with GenAI ecosystems and integration into production applications.
  • A passion for solving complex problems with the courage to take research risks and drive innovation.

We are an equal opportunity employer committed to creating an inclusive environment that values diversity and promotes fair opportunities for all individuals. We do not discriminate based on age, color, gender, marital status, caste, religion, race, ethnic group, nationality, sexual orientation, gender identity, pregnancy, family responsibility, or disability.

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