Data-Driven AI Innovation Lead
2 days ago
Job Title: Data-Driven AI Innovation Lead
Location: India (Remote options available)
Estimated Salary: ₹2,500,000 - ₹5,000,000 per annum
We are seeking a skilled Data-Driven AI Innovation Lead with 4-10 years of experience in developing, deploying, and managing AI-driven solutions. The ideal candidate should have hands-on expertise with Azure Generative AI services, strong proficiency in Python and related AI libraries, and a solid background in data or machine learning.
This role involves designing and implementing advanced AI functionalities, including document intelligence, chatbot development, entity extraction, and sentiment analysis. Prior experience with DevOps tools and domain expertise in legal, procurement, or finance is an added advantage.
Key Responsibilities:
- Develop and deploy advanced AI solutions using Azure Generative AI services, including AI Search, AI Document Intelligence, Azure Functions, and Logic Apps.
- Design and implement solutions for document chunking, chatbot query routing, entity extraction, document comparison, and sentiment analysis.
- Work with LangChain and related frameworks to build context-aware conversational agents and advanced document processing solutions.
- Develop scalable AI models for bulk document processing and real-world projects, avoiding limited Proof-of-Concept-only approaches.
- Implement and manage backend solutions using Python and other relevant technologies to support AI functionalities.
- Automate workflows using Azure Logic Apps and Azure Functions for seamless integration with other systems.
- Work with Terraform (if applicable) to streamline infrastructure provisioning and deployment.
- Leverage a strong background in data and machine learning to develop, fine-tune, and optimize AI models.
- Collaborate with data engineering teams to preprocess data and ensure high-quality inputs for model training and inference.
- Apply AI-driven solutions in legal, procurement, or finance domains, delivering tailored insights and enhancing decision-making processes.
- Utilize domain-specific knowledge to refine AI models for maximum accuracy and relevance.
- Work closely with cross-functional teams, including business analysts, data engineers, and stakeholders, to ensure successful delivery of AI solutions.
- Document AI models, workflows, and processes for maintenance and knowledge sharing.
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