NeGD AI/ML Lead Recruitment 2026 – Apply Online

The National e-Governance Division (NeGD), an independent business division under the Digital India Corporation, Ministry of Electronics and Information Technology, has invited applications for the AI/ML Lead position on a contractual basis for 4 vacancies in Delhi, with a last date of 13th November 2026. Candidates can apply through the official website.

NeGD Recruitment 2026 at a Glance

The official notification does not specify the age limit, application fee, or pay scale details.

About NeGD Recruitment 2026

The National e-Governance Division operates under the Digital India Corporation, Ministry of Electronics and Information Technology, supporting MeitY in programme management and implementation of e-Governance projects. This recruitment aims to fill AI/ML Lead positions initially for a period of three years, with possible extensions based on project requirements.

Vacancy Details

There are a total of 04 positions available for the AI/ML Lead role on a contractual basis.

Who Can Apply

The official notification does not specify the minimum educational qualification or age limit requirements for the AI/ML Lead position.

NeGD Recruitment 2026 Job Description

The selected AI/ML Lead candidates will handle technical leadership and specialisation responsibilities across multiple domains:

• Own the technical roadmap of the team’s reusable services, choosing between prompting, retrieval, fine-tuning and smaller specialised models on accuracy, cost, latency and data governance grounds, and documenting the rationale.
• Lead in-house engineers and data scientists, review their work, and remain hands-on in code, training and debugging.
• NLP & Document AI: OCR, layout analysis and parsing for scanned, handwritten and mixed script documents; extraction, classification, PII redaction, summarisation, similarity and deduplication; retrieval-augmented question answering over rules, circulars and case files, with citations and grounding checks.
• Computer Vision: face detection, 1:1 verification, 1:N search, liveness and presentation-attack detection at large scale; tamper, forgery and photo-substitution detection for identity documents and certificates; field-photo and satellite imagery analytics; deployment on server, mobile and edge.
• Agentic AI: agents for planning, tool use, memory and multi-agent coordination using LangGraph or equivalent and the Model Context Protocol (MCP); least-privilege tool permissions, human approval for every consequential action, audit trails and rollback; reusable agent templates for drafting, document scrutiny and request routing.
• Evaluation & Safety: Build golden datasets and specialisation-appropriate metrics with the QA Lead, set release thresholds, and run subgroup analysis across languages, document types, demographics or acoustic conditions; test services for prompt injection, presentation attacks, adversarial inputs and leakage of personal data before release with the AI Safety team.
• Deployment & Reuse: Deploy services through the AI platform and gateway, publish them to the service catalogue with documentation and SLAs, and contribute models and evaluation sets to AIKosh Vendor Oversight; review designs, code and evaluation evidence of vendor teams, and recommend acceptance or rejection of deliverables.
• Responsible AI & Privacy: Apply anonymisation, data minimisation and DPDPA 2023 requirements, with stricter handling for biometric data in Computer Vision, and document models through model cards and evaluation records.

How to Apply for NeGD Recruitment 2026

The notice does not give the submission mode.

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