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

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

• B.Tech./B.E., M.Tech./M.S. or M.Sc. in Computer Science, AI/ML, Data Science, Electronics or a related discipline
• Advanced degree (M.Tech./M.S./Ph.D.) or published work in the chosen specialisation is highly desirable
• Certifications are not mandatory; demonstrated work, as listed under Minimum Evidence at Screening, shall carry greater weight
• Candidates from non-traditional backgrounds with strong verifiable work will be considered in lieu of formal qualification

Experience

7+ years developing and deploying AI/ML systems (10+ years preferred); minimum 4 years building systems in the chosen specialisation deployed in production (Agentic AI: minimum 2 years building LLM applications or agents in production)

At least 2 years leading a team of engineers or data scientists, including setting technical direction and reviewing their work

Demonstrable delivery of at least one system in the chosen specialisation used by real users at scale, with documented evaluation: field-level accuracy (NLP & Document AI), word error rate or resolution rate (Speech AI), error rates at operating thresholds (Computer Vision), or task-success rates and safety controls (Agentic AI)

Hands-on experience fine-tuning open-weight or foundation models on domain data

Experience with Indian languages, scripts or code-mixed data is a strong plus

Experience overseeing vendor delivery is desirable

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.
• Speech AI: speech recognition, synthesis, translation and language identification for Indian languages, including 8 kHz telephone audio and code-mixed speech; assistants on web, WhatsApp, IVR and mobile with retrieval-grounded answers, human hand-off and safe failure; real-time voice pipelines within latency budgets.
• 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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