MLOPs Engineer – NeGD
Quick Info
- Vacancies
- Vacancies: 1
- Qualification
- Qualification: Candidates must possess a B.Tech or M.Tech in Computer Science, AI/ML, or a related discipline. Certifications in DevOps or Cloud Infrastructure (AWS, Azure, or GCP) are preferred.
- Experience Required
- Experience Required: Minimum 3-6 years of experience in operationalizing AI/ML models with proven experience in CI/CD automation. Prior exposure to deploying ML pipelines for NLP, computer vision, or speech systems, along with familiarity with monitoring, model lifecycle management, and performance logging, is required.
- Application Mode
- Application Mode: Apply Online
- Deadline
- Deadline:
NeGD is seeking an MLOPs Engineer, with one vacancy, to deploy and manage AI/ML models across development, staging, and production environments. This role offers a competitive pay package for individuals with a B.Tech/M.Tech in Computer Science or a related discipline, who are keen to build and maintain automated CI/CD pipelines. It's an excellent opportunity for engineers to contribute to real-time monitoring and ensure the reproducibility of deployed models within a dynamic government setting.
- The role involves building and maintaining automated pipelines for continuous integration and delivery (CI/CD).
- Candidates will implement real-time monitoring for model drift, latency, and inference performance.
- Collaboration with Solution Architects and MLOps Leads to standardize deployment infrastructure is a key responsibility.
- Ensuring reproducibility, rollback, and version control for deployed models is crucial for this position.
- Applicants should have 3-6 years of experience in operationalizing AI/ML models with proven CI/CD automation experience.
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Additional Salary Information
Refer official detailed notification
Important Dates
Selection Process
Screening of applications based on qualifications, age, and relevant experience.
Shortlisted candidates will be invited for interviews.
Application Fees
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Reservation
Refer official detailed notification
How to Apply
- Eligible candidates must apply ONLINE through the official application portal.
- Ensure all required documents, including educational qualifications, experience certificates, and age proof, are ready for upload.
- The application deadline is November 13, 2026. Candidates are advised to apply well in advance to avoid last-minute technical issues.
Frequently Asked Questions
The salary for the MLOPs Engineer position is not explicitly mentioned in the notification. Candidates are advised to refer to the official detailed notification for pay scale information.
Candidates for the MLOPs Engineer role must hold a B.Tech or M.Tech in Computer Science, AI/ML, or a related discipline. Certifications in DevOps or Cloud Infrastructure are preferred.
The maximum age limit for the MLOPs Engineer position is 55 years on the closing date of application.