NeGD Senior AI/ML and MLOps Recruitment 2026

National e-Governance Division (NeGD) is hiring 2 senior AI engineering professionals on contract under Digital India Corporation. The posts are Senior AI/ML Engineer and Senior MLOps Engineer, with 1 vacancy each. You need a B.E./B.Tech or related technical degree with strong AI, ML, or MLOps experience. Apply online before 14 June 2026 through the official Digital India Corporation recruitment portal.

National e-Governance Division (NeGD) Senior AI/ML and MLOps Engineer Recruitment 2026 - 2 Posts

National e-Governance Division (NeGD), an independent business division under Digital India Corporation and MeitY, supports major Digital India platforms and e-Governance projects. This recruitment is for experienced professionals who can work on advanced machine learning research, generative AI systems, LLM infrastructure, and production MLOps. The contract is initially for 3 years and may be extended based on project requirement.

Vacancy Breakdown

• Senior AI/ML Engineer: 1 post, experience range shown as 5-9 years.
• Senior MLOps Engineer: 1 post, experience shown as 8-10 years in the summary table, with the detailed section asking for strong production MLOps experience.

Who Can Apply?

Senior AI/ML Engineer

• Qualification: You need a B.E./B.Tech in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related quantitative field from a recognised university.
• Higher Qualification: M.Tech, MS, or PhD in Machine Learning, Artificial Intelligence, Computer Science, or related field is highly desirable.
• Experience: You need 5-9 years of applied machine learning research and development experience.
• Core Areas: Experience in at least two areas such as NLP, Computer Vision, Speech Recognition, Recommendation Systems, or Reinforcement Learning is expected.
• Preferred Research Profile: First-author publications in top ML conferences or journals are preferred, if available.

Senior MLOps Engineer

• Qualification: You need a B.E./B.Tech in Computer Science, Engineering, Mathematics, or a related technical field from a recognised university.
• Higher Qualification: M.Tech or MS in Machine Learning, Computer Science, Artificial Intelligence, or related field is desirable.
• Experience: You need strong hands-on experience in production ML infrastructure, including large-scale model deployment and MLOps.
• Preferred Certifications: Cloud platform certifications and Kubernetes certifications such as CKA or CKAD are desirable.

Key Technical Skills

• Senior AI/ML Engineer: Strong knowledge of neural networks, transformers, model training, PEFT methods such as LoRA/QLoRA, RLHF, RAG, model evaluation, and statistical analysis is important.
• Senior MLOps Engineer: Strong knowledge of Kubernetes, GPU clusters, vLLM, TGI, TensorRT-LLM, Ray Serve, Triton, cloud ML platforms, vector databases, MLflow/DVC, CI/CD, and observability tools is expected.
• Work Style: You should be comfortable documenting experiments, working with government project teams, and turning project needs into reliable AI systems.

Age Limit

• Maximum age: 55 years on the closing date of application.
• Age reference date: The closing date is 14 June 2026.

Salary and Contract Terms

• The notification does not mention a fixed salary for these two posts.
• The appointment is on a contract basis, initially for 3 years.
• The contract may be extended as per project requirement and NeGD/DIC policy.
• The post is based in New Delhi, but it can be transferred to project locations of NeGD as per existing policy.

Selection Process (No Written Exam Mentioned)

NeGD has not announced a written exam for these posts. Screening will be based on qualification, age, and relevant experience, and only shortlisted candidates will be called for interview.

1. Application Screening: NeGD will check your education, age, role fit, and relevant experience.
2. Higher Screening Threshold: NeGD may set a higher qualification or experience threshold to limit the number of candidates for interview.
3. Interview: Shortlisted candidates will be invited for the interview round.
4. Document / NOC Check: Government, PSU, or autonomous body employees should apply through proper channel, attach NOC, or produce NOC during interview.

How to Apply

1. Go to the official Digital India Corporation online recruitment portal at ora.digitalindiacorporation.in.
2. Select the NeGD recruitment for Senior AI/ML Engineer or Senior MLOps Engineer.
3. Fill in your personal details, education, experience, and technical skill information carefully.
4. Upload your resume, certificates, experience proof, and other documents asked in the online form.
5. If you are already working with Central/State Government, PSU, or an autonomous body, keep your No Objection Certificate ready.
6. Submit the online application before 14 June 2026.

Important Dates

• Advertisement Date: 2 June 2026
• Online Application Start: 2 June 2026
• Last Date to Apply Online: 14 June 2026
• Interview Date: To be announced

Documents to Keep Ready

• Resume / CV: Updated profile showing AI/ML, MLOps, LLM, cloud, and production system experience.
• Education Proof: B.E./B.Tech, M.Tech, MS, PhD, or relevant degree certificates and mark sheets.
• Experience Proof: Experience letters, project proof, or documents showing 5-10 years of relevant work.
• Skill Proof: Cloud, Kubernetes, ML, MLOps, or research/publication proof, if available.
• NOC: No Objection Certificate for candidates already working under government, PSU, or autonomous organisations.
• Identity Proof: Aadhaar, PAN, passport, voter ID, driving licence, or another valid government ID.

• Design machine learning models, training methods, and evaluation workflows for Digital India projects
• Build and improve LLM, RAG, reinforcement learning, and generative AI solutions
• Deploy and manage scalable MLOps pipelines across cloud and private GPU environments
• Monitor model performance, inference cost, latency, reliability, and production readiness
• Work with domain teams to convert government project needs into AI and ML problem statements
• Prepare technical documentation, experiment reports, deployment notes, and review material
• Guide junior engineers and support code review, model review, and platform best practices