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ML Evaluation Engineer

LAHORE, Punjab Full Time Data science Deadline: 12 Nov 2026
Verification Status: Official Information Verified Last Verification Date: 05 November 2026
1 Position(s)
As per Rules
Masters/Bachelors (Hons) (16 years), Years of Education, Data science, Artificial Intelligence, Computer Engineering/Science
At least 5 years in machine-learning engineering or ML testing and evaluation, including production model deployment or quality assurance.Skills & Competencies:• Python and ML frameworks (PyTorch / TensorFlow / scikit-learn)• Model evaluation, red-teaming and benchmark design• Bias, fairness and robustness testing methods• MLOps, experiment tracking and monitoring tooling• Clear technical reporting for non-specialist reviewersKey Performance Indicators (KPIs):• Share of production models passing

Job Description & Overview

Qualification:Bachelor's or Master's degree (16 years of education) in Computer Science, Artificial Intelligence, Data Science or a related field from an HEC-recognized university. Preference would be given to foreign qualified candidates with proven track record.Experience:At least 5 years in machine-learning engineering or ML testing and evaluation, including production model deployment or quality assurance.Skills & Competencies:• Python and ML frameworks (PyTorch / TensorFlow / scikit-learn)• Model evaluation, red-teaming and benchmark design• Bias, fairness and robustness testing methods• MLOps, experiment tracking and monitoring tooling• Clear technical reporting for non-specialist reviewersKey Performance Indicators (KPIs):• Share of production models passing standardized evaluation before deployment (target 100 percent).• Post-deployment issues detected through monitoring and time-to-remediation.

Eligibility Criteria & Requirements

Key Responsibilities / ToRs:• Build and maintain standardized evaluation suites (accuracy, robustness, bias and fairness, safety and drift) applied at the evaluation gates.• Design test datasets and benchmarks, including Urdu and Punjabi language evaluation sets, with the Data, AI Engineering & Platform Wing.• Run pre-deployment evaluations and continuous post-deployment monitoring for all production models, publishing results to the model registry.• Support the Impact-Assessment Reviewer and third-party assurance providers with reproducible evaluation evidence for high-risk systems.• Advise squads and outsourced vendors on evaluation requirements and acceptance criteria written into contracts.

How to Apply

Apply online through Punjab Jobs Portal. Domicile is required for this position.

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Frequently Asked Questions (FAQs)

How to apply for ML Evaluation 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 ML Evaluation Engineer should hold a minimum qualification of Masters/Bachelors (Hons) (16 years), Years of Education, Data science, Artificial Intelligence, Computer Engineering/Science with At least 5 years in machine-learning engineering or ML testing and evaluation, including production model deployment or quality assurance.Skills & Competencies:• Python and ML frameworks (PyTorch / TensorFlow / scikit-learn)• Model evaluation, red-teaming and benchmark design• Bias, fairness and robustness testing methods• MLOps, experiment tracking and monitoring tooling• Clear technical reporting for non-specialist reviewersKey Performance Indicators (KPIs):• Share of production models passing 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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