Description :

- Model Development & Deployment : Build, test, deliver, and maintain robust data science and AI models that solve complex business challenges.

- Responsible AI Leadership : Embed the highest standards of AI ethics and responsible AI in all phases of model development and deployment.

- Business Alignment : Influence and translate strategic business objectives into actionable data science requirements.

- Health Pillar Support : Drive ideation and delivery of advanced analytics and AI solutions within the health vertical especially on AI based conversational chatbots.

- Conversational AI Ownership : Lead the design, development, and optimization of intelligent chatbots and conversational agents.

- Innovation & Thought Leadership : Continuously explore and implement solutions in Generative and Agentic AI.

- Team Leadership : Mentor and work manage a high-performing team of data and AI engineers, fostering a culture of collaboration and excellence.

Qualifications Details :

Education : Bachelors or Masters in Data Science, Computer Science, AI, or related quantitative field

Experience : 5+ years (Bachelors) or 3+ years post-Masters in AI/Data Science

Programming : Expert in Python, SQL, LangChain, Hugging Face

Use-Case Experience : Preferably with conversational chatbots utilizing LLMs for intent detection, Geolocation Analytics, Churn Modelling, Cluster Analysis, Recommendation Engine

Cloud Platforms : Hands-on experience with Azure or Google Cloud

MLOps/AIOps : Experience in managing ML artifacts and LLM cost optimization is a strong plus