Senior MLOps Engineer – NeGD
Quick Info
- Vacancies
- Vacancies: 1
- Employment Type
- Employment Type: Contract
- Qualification
- Qualification: Bachelor's degree (B.E./B.Tech) in Computer Science or a related technical field; Master's degree and cloud certifications (CKA/CKAD) are preferred.
- Experience Required
- Experience Required: Minimum 8-10 years of hands-on experience in production ML infrastructure and large-scale model deployment.
- Age Limit
- Age Limit: Upto 55 years
- Application Mode
- Application Mode: Online
- Deadline
- Deadline:
NeGD invites applications for 1 Senior MLOps Engineer to architect the infrastructure backbone for enterprise-grade generative AI and hybrid cloud deployments. This role involves managing distributed GPU systems and orchestrating complex LLM pipelines, offering a professional pay structure for specialists with 8-10 years of experience. Applicants must hold a B.E./B.Tech in a technical field and possess deep expertise in Kubernetes and cloud-agnostic MLOps frameworks. This position is highly attractive for engineers looking to build air-gapped private GPU clusters and handle billions of inference tokens for critical national services.
- Candidates must not exceed the maximum age limit of 55 years by the application closing date.
- The engagement is purely on a contract basis for an initial term of 3 years, extendable based on project needs.
- Required experience includes at least 2 years dedicated specifically to large-scale model deployment and MLOps.
- The application process is entirely online with a final submission deadline of June 14, 2026.
- Shortlisted candidates will be invited for an interview process in New Delhi.
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Additional Salary Information
Refer official detailed notification for consolidated monthly pay details commensurate with experience.
Important Dates
Selection Process
Screening of applications based on qualifications and experience Shortlisting of candidates Personal Interview
Application Fees
Refer official website for fee details
Reservation
1 Vacancy (Unreserved/General category as per standard contract norms)
How to Apply
- Visit the official Digital India Corporation recruitment portal at https://ora.digitalindiacorporation.in/ Select the desired position (Senior AI/ML Engineer or Senior MLOps Engineer).
- Fill in the online application form with accurate personal and professional details.
- Upload necessary documents including educational certificates and experience letters.
- Submit the application before the deadline of 14.06.2026.
- Candidates currently employed in Government/PSUs must apply through the proper channel or provide a No Objection Certificate (NOC).
Frequently Asked Questions
A minimum of 8-10 years of experience is required, with at least 2 years focused on production ML infrastructure and MLOps.
The last date for submission of online applications is June 14, 2026.
The salary is a consolidated monthly amount based on qualifications and experience; refer to the official notification for specific scales.