Pakistan Digital Authority (PDA)
Islamabad New Opportunity Official website
Opportunity Information
Scale/ Grade

Scale: Grade-8 | Grade: Grade-8

Number of Post(s)

1

Type of Employer

Federal Government Authority

Level

Mid Career

Placement

On Site

Location

Islamabad

The Role

Pakistan Digital Authority (PDA) invites applications for an MLOps Engineer: AI Observability and Monitoring (Grade-8) on contract, to build deployment pipelines, observability and monitoring for production AI applications.


•Build CI/ CD pipelines for models, prompts and AI services, including automated checks, controlled releases and rollback procedures •Maintain registries and version records for models, prompts and datasets, linking deployed releases to their source artifacts •Instrument AI requests and agent steps with traces covering model version, latency, token usage, errors and cost •Capture inputs and outputs only where authorised, applying redaction, access controls and retention limits to sensitive data •Develop dashboards for latency, error rates, token consumption, GPU utilisation, service availability and cost •Configure alerts for operational failures, performance degradation and measured declines in output quality •Run scheduled and release-based evaluations; compare new versions against agreed baselines and acceptance thresholds •Implement checks for drift, hallucination and unsafe content, documenting detection limitations and escalating findings for review •Investigate incidents, identify root causes and prepare incident reports with corrective actions •Work with engineering and security teams to maintain reliable monitoring and ensure logs and traces follow applicable privacy requirements

Applicants General Eligibility & Requirements
Required Experience

4+ years

Education, Experience and Skills Requirements
Required Education Level/ Field of Study
  • Bachelor's Degree (16 Years): Computer Science, Software Engineering, Information Technology
Required Experience

At least 4 years of relevant experience in MLOps, DevOps, platform engineering or site reliability engineering, including at least 1 year supporting production AI/ ML systems; hands-on experience with CI/ CD, Git, Linux, containers, scripting and automated deployment workflows; practical experience with metrics, logs, distributed tracing, dashboards, alerting and production incident investigation Preferred: Experience with LLM observability platforms; exposure to Kubernetes, GPU workloads, infrastructure as code and production agent tracing; experience applying data minimisation, redaction and access controls in government or enterprise environments

Skills

MLOps, CI/ CD, Git, Linux, Containers, Kubernetes

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Application
Application Deadline 11 November 2026
11 days remaining

No application fee

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