Open. Applications are accepted until , Pakistan time.
- Last date to apply
- 11 Nov 2026
- Advertised on
- 28 Oct 2026
- Total posts
- 1
- Pay scale
- Grade-8
- Employment type
- Full Time
- Job nature
- Contract
- Shift
- Morning
- Category
- Engineering
- Region
- Islamabad Capital Territory
Location
- Islamabad Capital Territory
About this vacancy
Pakistan Digital Authority (PDA) is hiring for the post of AI Model Deployment Engineer (Grade-8) on a contract basis. Applicants need a bachelor's degree in a subject such as Computer Science, Artificial Intelligence or Software Engineering and at least 4 years of experience. The role involves role Purpose The Pakistan Digital Authority (PDA) is seeking an AI Model Deployment Engineer to select, adapt, evaluate and deploy AI models for government use cases. The last date to apply is 11 November 2026.
Duties and responsibilities
- Role Purpose The Pakistan Digital Authority (PDA) is seeking an AI Model Deployment Engineer to select, adapt, evaluate and deploy AI models for government use cases
- The role translates user requirements into reliable production deployments, balancing model quality, response time, infrastructure capacity and cost
- Key Responsibilities Work with product teams and users to define model requirements, acceptance criteria and performance targets for each use case
- Compare candidate models using public benchmarks and representative use-case data; document model selection decisions
- Prepare and clean fine-tuning data, verify data quality and authorised use, and maintain dataset provenance
- Fine-tune models where needed using approaches such as LoRA and QLoRA, with reproducible configurations and versioned artifacts
- Build evaluation datasets and assess accuracy, task performance and safety before and after model adaptation
- Deploy models on inference servers such as vLLM, SGLang or Triton, with appropriate access controls and deployment documentation
- Configure GPU memory, batching and context length; measure latency, throughput and cost per request
- Apply quantisation methods such as AWQ, GPTQ or FP8 where supported, validating quality and performance before release
- Work with MLOps and application engineers on release testing, monitoring, troubleshooting and rollback readiness
- At least 4 years of relevant experience in AI/ML engineering or model development, including at least 1 year of hands-on model deployment within that period
- Demonstrated experience taking at least one AI/ML model through evaluation and deployment into a production environment
- Proficiency in Python and practical experience with machine learning frameworks, model libraries, Linux, containers and inference APIs
- Hands-on experience with LLM evaluation, fine-tuning and GPU-based inference; ability to assess quality, latency and cost trade-offs
- Strong analytical, troubleshooting, documentation and collaboration skills
- Preferred Experience Experience with government or enterprise AI applications, multilingual models, or Urdu-language evaluation
- Exposure to Kubernetes, inference scaling, model quantisation and secure deployment environments
- Understanding of data privacy, model licensing, information security and responsible AI practices
Eligibility criteria
- Required Qualifications & Experience Bachelor’s degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or a related discipline
Experience required
- Required experience: At least 4 years
- 4 Years
Selection process and test pattern
- Paper type: Mcqs
How to apply
- Open the official application link shown on this page.
- Apply to Pakistan Digital Authority (PDA) using the method the advertisement specifies.
- Check the eligibility criteria above against the official advertisement before paying any fee.
- Submit so that the application reaches on or before 11 Nov 2026.
- Keep your challan, tracking ID and a copy of everything you sent.
Official source
- Advertised by
- Pakistan Digital Authority (PDA)
- Application link
- njp.gov.pk
- Source page
- njp.gov.pk
- Added to this site
- 30 Oct 2026
Verify every detail here against the original advertisement before applying.