Senior AI / ML Engineer

Janaagraha Centre for Citizenship and Democracy; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Janaagraha Centre for Citizenship and Democracy in Bengaluru is looking for an AI Systems Lead who will oversee the design and integration of innovative AI systems to improve knowledge discovery, document understanding, and search relevance.

This role involves collaboration with external AI vendors, building and fine-tuning AI models, and establishing guidelines for responsible AI use. The ideal candidate will also develop APIs and train staff for effective AI integration.

Qualifications

• Experience in designing and integrating AI systems for knowledge discovery.
• Ability to work with external vendors and implement enterprise-grade systems.
• Proficiency in building and fine-tuning AI models.

Responsibilities

• Lead the design and integration of AI systems that enhance knowledge discovery.
• Work closely with an external AI vendor to implement a secure KMS.
• Build and fine-tune AI models for semantic search and text classification.
• Develop APIs to integrate AI capabilities into existing systems.
• Collaborate with teams to identify high-impact AI use cases.
• Establish guidelines for responsible AI use and data privacy.
• Document workflows and train staff for sustainable AI adoption.

Job description

• Lead the design and integration of AI systems that enhance knowledge discovery, document understanding, and search relevance.
• Work closely with an external AI vendor to implement a secure, enterprise-grade KMS that indexes and connects internal documents, emails, and data sources.
• Build and fine‑tune AI models for tasks such as semantic search, summarisation, entity extraction, and text classification.
• Develop and maintain APIs and services that integrate AI capabilities into existing systems and workflows.
• Collaborate with program and research teams to identify and prioritise high‑impact AI use cases across the organisation.
• Establish guidelines for responsible AI use, transparency, and data privacy.
• Document workflows, train staff, and build internal capacity for sustainable AI adoption.