MLOPs Lead – NeGD
Quick Info
- Vacancies
- Vacancies: 1
- Qualification
- Qualification: Candidates must possess a B.Tech, M.Tech, or M.S. in Computer Science, Data Engineering, AI, or a related discipline. Certification in cloud DevOps or MLOps platforms (AWS DevOps Engineer, Azure DevOps Expert, GCP Professional ML Engineer) is highly desirable.
- Experience Required
- Experience Required: Minimum 7-10 years of experience in machine learning operations or DevOps engineering, with at least 4 years building CI/CD pipelines for AI/ML model deployment in enterprise or government ecosystems. Proven experience with containerized and microservice architectures is also required.
- Application Mode
- Application Mode: Apply Online
- Deadline
- Deadline:
NeGD is recruiting an MLOPs Lead, with one vacancy, to spearhead the design and management of continuous integration and delivery (CI/CD) pipelines for AI/ML models. This role offers a competitive pay package for professionals holding a B.Tech/M.Tech/M.S. in Computer Science or a related discipline, who are eager to ensure the stability and traceability of AI/ML deployments. It's an excellent opportunity for experienced MLOps engineers to drive scalable AI solutions within a government ecosystem.
- The role requires establishing robust model versioning, deployment, monitoring, and rollback mechanisms.
- Candidates will be responsible for automating training, testing, and serving workflows using containerized solutions.
- Defining infrastructure-as-code templates for scalable AI deployment on both on-premise and cloud environments is a key responsibility.
- Collaboration with Data Science and Engineering teams to standardize model input/output formats and performance metrics is essential.
- Applicants should have a minimum of 4 years of experience building CI/CD pipelines for AI/ML model deployment in enterprise or government ecosystems.
applyforgovt.com is an independent informational platform and is not affiliated with any government organization, PSU, ministry, department, or recruiting authority. Verify details on the official website before applying.
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
Refer official detailed notification
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 Lead 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 Lead role must hold a B.Tech, M.Tech, or M.S. in Computer Science, Data Engineering, AI, or a related discipline. Cloud DevOps or MLOps platform certifications are highly desirable.
The maximum age limit for the MLOPs Lead position is 55 years on the closing date of application.