Digital India Corporation Senior MLOps Engineer Recruitment 2026

Digital India Corporation Senior MLOps Engineer is available through the official recruiting body. Digital India Corporation has published an official notice for Senior MLOps Engineer. This guide summarises the verified application details and building machine learning model deployment pipelines, Kubernetes cluster orchestration, version registries, and ML platform monitoring. This covers deploying CI/CD workflows for automated model retraining and production checks. This article summarises the verified notice and keeps the official application route below.

The notification is Contractual Recruitment Advertisement (INDIAai Division). The location context is Delhi, India. Candidates should use the full notice for category, reservation, and post-specific conditions.

Digital India Corporation Senior MLOps Engineer: Quick Facts

Recruiting body	Digital India Corporation
Post or examination	Senior MLOps Engineer
Notification	Contractual Recruitment Advertisement (INDIAai Division)
Vacancies	1 Post
Location	Delhi, India
Important dates	Contractual applications deadline June 14, 2026 (or as updated on the careers page)

Vacancies, Pay, Fee and Important Dates

The official vacancy position is 1 Post. Consolidated salary commensurate with experience as per DIC norms

The application schedule is: Contractual applications deadline June 14, 2026 (or as updated on the careers page). The fee position is: No application fee. Applicants should complete payment and final submission before the stated deadline.

Eligibility and Age Conditions

Eligibility must be complete by the date stated in the notice. A similar course name does not automatically qualify unless the recruiting body accepts it.

• BE/B.Tech/BS or equivalent degree in Computer Science, engineering, or related quantitative field.
• 8-10 years of post-qualification experience in software engineering, MLOps, or cloud infrastructure operations.
• Proven track record of designing, building, and deploying ML pipelines (Kubeflow, MLflow, Airflow).
• Strong skills in containerization (Docker), orchestration (Kubernetes), and cloud services (AWS/GCP/Azure).
• Candidates should show a solid understanding of software testing, version control, and system documentation practices.

Selection Process

The recruiting body controls shortlisting and can apply the conditions in the official notice. Candidates should track notices, email, and the application portal after submission.

• Design, build, and support production-grade machine learning model deployment pipelines.
• Configure and maintain Kubernetes clusters, workload routing, and container networking for AI services.
• Implement version registries, metadata stores, and system performance monitors.
• Orchestrate training and inference workflows at scale, ensuring latency and reliability standards.

Documents to Keep Ready

Names, dates, marks, and category details should match the supporting records. Correct discrepancies before document verification whenever the rules allow it.

• Education certificates and complete marksheets.
• Date-of-birth and government identity proof.
• Experience or service certificates in the required format.
• Category, disability, NOC, vigilance, or deputation records where applicable.
• Submitted application, fee receipt, photograph, and signature records.

Checks Before Final Submission

Use the preview or print view before final submission. Correcting a form later may be restricted, may require a fee, or may not be available for every field.

• Confirm that the selected post, category, centre, and qualification are correct.
• Check spelling of the candidate name and parents' names against official records.
• Verify marks, passing dates, certificate numbers, and experience periods.
• Open each uploaded file once to confirm it is clear and in the required format.
• Make sure payment status and final-submission status both show completion.

How to Apply Through the Official Route

• Read the official notification and confirm qualification, age, category, and post conditions.
• Register only on the official recruiting portal using an active email and mobile number.
• Enter details exactly as shown in educational and identity documents.
• Upload the required files, pay the fee when applicable, and complete final submission.
• Download the submitted form or confirmation page and keep the registration details secure.

Avoid agents, unofficial forms, copied notices, and payment requests sent through social media. Government recruitment does not require a private person to secure selection.

Preparation Guidance

Use the syllabus or role criteria from the official notice as the preparation boundary. Do not spend time on an exam stage or subject that the notice does not include.

• Review Kubernetes administrative patterns, Docker containerization, and Helm chart packaging.
• Prepare to describe an end-to-end MLOps pipeline you designed, focusing on monitoring and retraining loops.

Recheck the official website for corrigenda, date changes, admit cards, and result notices. Selection depends on the notified process, document checks, and applicable rules.

Frequently Asked Questions

What is the location of work?

The position is based in Delhi, India, on a contractual basis.

What tools are required?

Proficiency with Kubernetes, Docker, Python, MLflow, and cloud platform monitoring is expected.

What is the official source?

The source is the official Digital India Corporation notice hosted through dic.gov.in. The apply button uses the official route.