AI Innovation Position

3 days ago

Bengaluru, Karnataka, India beBeeInnovator Full time ₹ 20,00,000 - ₹ 25,00,000
Job Title: AI Innovator

Description:
We are seeking an experienced AI innovator to join our team. As a senior data scientist, you will design and develop advanced machine learning models and generative AI applications to solve complex business problems.

Key Responsibilities:
  • Design and deploy agentic AI workflows and use cases using frameworks like LangGraph and Crew AI.
  • Apply NLP, predictive modeling, and optimization techniques to develop scalable machine learning solutions.
  • Integrate enterprise knowledge bases using Vector Databases and Retrieval Augmented Generation (RAG).
  • Apply advanced analytics to address complex challenges in the Healthcare, BFSI, and Manufacturing domains.
  • Detect insights and drive real-time operational decisions through embedded analytics within business systems.

Required Skills & Experience:
  • A minimum of 3–5 years of experience in applied Data Science or AI roles.
  • Proficiency in Python, with hands-on experience in libraries such as scikit-learn and TensorFlow.
  • Practical experience with Gen AI (LLMs, RAG, vector databases), NLP, and building scalable ML solutions.
  • Familiarity with cloud-based ML platforms like Azure ML, AWS SageMaker, or Google Vertex AI.
  • Data visualization using Matplotlib, Seaborn, Plotly; experience with Power BI is a plus.

Benefits:
  • Work on cutting-edge AI & GenAI projects.
  • Be part of a high-caliber AI team solving complex business challenges.
  • Exposure to global enterprises and AI-driven decision-making.
  • Competitive compensation and fast-track career growth in AI.

Why You'll Thrive Here:
  • AI-First Thinking – Passion for leveraging AI to solve business problems.
  • Data-Driven Mindset – Ability to extract meaningful insights from complex data.
  • Collaboration & Agility – Comfortable working in cross-functional teams with a fast-paced mindset.
  • Problem-Solving – Think beyond the obvious to unlock AI-driven opportunities.
  • Business Impact – Focus on measurable outcomes and real-world adoption of AI.
  • Continuous Learning – Stay updated with the latest AI trends, research, and best practices.

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