MLOps Lead – DIC
Quick Info
- Vacancies
- Vacancies: 1
- Employment Type
- Employment Type: Contract
- Qualification
- Qualification: B.Tech / M.Tech / M.S. in Computer Science, Data Engineering, AI or related discipline. Cloud DevOps or MLOps certification highly desirable.
- Experience Required
- Experience Required: 7–10 years in machine learning operations or DevOps engineering, including minimum 4 years building AI/ML CI/CD pipelines.
- Application Mode
- Application Mode: Apply Online
- Deadline
- Deadline:
The MLOps Lead post at Digital India Corporation is a senior leadership role responsible for designing robust CI/CD frameworks and model deployment governance for enterprise AI initiatives. The position leads infrastructure-as-code automation, containerized serving, and compliance with Responsible AI standards across multi-cloud environments. It offers senior engineering professionals a prominent opportunity to shape nation-scale AI delivery infrastructure. Candidates are advised to apply online using the DIC portal before the stated submission deadline.
- Senior leadership role supervising machine learning lifecycle management, serving infrastructure, and workflow orchestration.
- Applicants should compile their architecture portfolios and professional MLOps certifications prior to applying online.
- Involves direct collaboration with data science leads and government solution architects.
- Early online registration is advised to avoid last-minute portal congestion.
- Refer to the official document for specific details on cloud platform expectations and technical requirements.
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Additional Salary Information
Refer official detailed notification
Important Dates
Selection Process
Shortlisting of candidates based on qualifications and experience.
Interview or technical assessment.
Application Fees
Refer official notification
Reservation
As per government rules and guidelines.
How to Apply
- Visit the official portal at https://ora.digitalindiacorporation.in/.
- Select the desired position and fill out the online application form.
- Submit all required documents and details before 23rd August 2026.
Frequently Asked Questions
B.Tech, M.Tech, or M.S. in Computer Science, Data Engineering, AI, or related fields.
7 to 10 years of experience in MLOps or DevOps engineering, with at least 4 years building CI/CD pipelines for AI/ML.
Selection involves screening of online applications followed by technical interviews.