The National Database and Registration Authority (NADRA), under the Ministry of Interior, Pakistan, has announced a career opportunity for Deputy Assistant Director (AI/ML Research Engineer) at its Islamabad headquarters. This Nadra vacancy is aimed at highly skilled and experienced professionals in Artificial Intelligence, Machine Learning, Data Science, and related fields. Candidates with HEC-verified degrees, relevant experience, and strong technical competencies in machine learning algorithms, deep learning, and large-scale data handling are encouraged to apply. The recruitment is open on a contract basis with a 6-month probation period, providing an exciting platform for career growth in a reputable government institution.
Program Overview
| Parameter | Details |
|---|---|
| Advertisement Posted Date | February 2026 |
| Last Date to Apply | 15 February 2026 |
| Job Location | Islamabad, Pakistan |
| Organization | National Database and Registration Authority (NADRA) |
| Position | Deputy Assistant Director (AI/ML Research Engineer) |
| Employment Type | Contract (6-month probation, extendable if required) |
| Minimum Qualification | Bachelor’s (4 Years) in AI/Computer Science/Data Science/Machine Learning/IT or equivalent; Master’s preferred |
| Experience | Minimum 1 year of relevant experience |
| Application Mode | Online only |
| Website | https://careers.nadra.gov.pk |
Positions Details
Deputy Assistant Director (AI/ML Research Engineer)
Educational Background:
- Bachelor’s (4 Years) in Artificial Intelligence, Computer Science, Data Science, Machine Learning, Information Technology, or related field.
- Master’s degree preferred.
- Minimum 16 years of HEC-verified education is mandatory.
- Degrees must be recognized and attested by HEC.
Professional Experience:
- Minimum 1 year of relevant experience.
Skills and Competencies:
- Strong understanding of machine learning algorithms, deep learning methods, statistical techniques, and large language models (LLMs).
- Basic knowledge of Python and ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience in data preprocessing, feature engineering, model development, evaluation, and optimization techniques.
- Familiarity with cloud-based ML platforms, MLOps workflows, and handling large-scale datasets.
- Strong analytical and problem-solving skills with a research-driven mindset.
- Ability to translate complex technical concepts into actionable insights.
- Excellent communication and collaboration skills for cross-functional teamwork.
Deployment Location: Islamabad
How to Apply
Eligible candidates must submit applications online only via the official NADRA careers portal: https://careers.nadra.gov.pk. Detailed application guidance is available in the download section of the website. Only shortlisted candidates will be called for a test/interview.
Terms and Conditions
- Selected candidates will serve on a 6-month probation period, extendable if required.
- NADRA reserves the right to stop, cancel, or reject the recruitment process or any application at any stage without providing a reason.
- Number of positions may be increased or decreased according to requirements.
- Only shortlisted candidates will be called for tests/interviews.
- Candidates providing false information will be disqualified.
- Applicants currently employed in government or semi-government institutions must submit a No Objection Certificate (NOC) at the time of application.
- Age relaxation of 5 years is included in the mentioned criteria.
- Selected candidates must provide medical fitness and character certificates.
- TA/DA will not be admissible.
- Degrees must be HEC-verified or attested by the relevant authority at the time of appointment.
- Women, minorities, transgender, and disabled candidates are encouraged to apply.
- Electronic devices (mobile phones, smartwatches, etc.) are not allowed during tests/interviews.
- The last date to apply is 15 February 2026. Only online applications will be accepted.
For more information and to submit applications, visit NADRA Careers or scan the QR code provided in the official advertisement.