MLOps / LLMOps Engineer
Job Description & Overview
Eligibility Criteria & Requirements
How to Apply
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Frequently Asked Questions (FAQs)
How to apply for MLOps / LLMOps Engineer at Artificial Intelligence Delivery Unit?
Applicants must follow the official guidelines outlined above. If an online application link is provided, click "Apply Online Now" to visit the official career portal. Otherwise, submit hard copies of your CV, degrees, CNIC, and photos to the specified postal address.
What is the application deadline for this position?
The last date to submit your application for this position is 12 November 2026. Applications submitted after the deadline will not be accepted.
What qualifications are required for this role?
Candidates applying for MLOps / LLMOps Engineer should hold a minimum qualification of Masters/Bachelors (Hons) (16 years), Years of Education, Information Technology, Software Engineering, Computer Engineering/Science with At least 4 years of DevOps/MLOps experience with production ML systems.Skills & Competencies:• Docker/Kubernetes, CI/CD tooling (GitHub Actions, GitLab CI, Jenkins)• MLOps platforms (MLflow, Weights & Biases, Kubeflow, or equivalents)• Cloud infrastructure (AWS/Azure/GCP) and infrastructure-as-code• Monitoring and observability tooling• Scripting (Python/Bash) and GitKey Performance Indicators (KPIs):• Deployment frequency and lead time for AI model/application releases.• System reliability and experience as specified by Artificial Intelligence Delivery Unit.
Where is this job located?
This job position is located in LAHORE, Punjab, Pakistan.
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Job Summary
- Sector Government
- City LAHORE
- Eligible Gender Both
- Total Views 1
- Posted Date 05 Nov 2026