AI Model Deployment Engineer

Pakistan Digital Authority (PDA) is looking to hire an AI Model Deployment Engineer based in Islamabad, Pakistan. This role involves selecting, adapting, evaluating, and deploying AI models tailored for various government use cases. The successful candidate will work closely with product teams and users to translate requirements into reliable production deployments, ensuring an optimal balance between model quality, response time, infrastructure capacity, and cost efficiency.

Key Responsibilities
- Collaborate with product teams and end-users to define model requirements, acceptance criteria, and performance targets specific to each use case.
- Evaluate and compare candidate AI models using public benchmarks and representative data, documenting the rationale behind model selection decisions.
- Prepare and clean fine-tuning datasets, verify data quality and authorized usage, and maintain detailed dataset provenance records.
- Fine-tune models using techniques such as LoRA and QLoRA, ensuring reproducibility through versioned configurations and artifacts.
- Develop evaluation datasets and rigorously assess model accuracy, task performance, and safety both before and after adaptation.
- Deploy AI models on inference servers like vLLM, SGLang, or Triton, implementing appropriate access controls and maintaining comprehensive deployment documentation.
- Optimize GPU memory usage, batching strategies, and context length; measure and analyze latency, throughput, and cost per request.
- Apply quantization methods such as AWQ, GPTQ, or FP8 where supported, validating model quality and performance prior to release.
- Collaborate with MLOps and application engineering teams on release testing, monitoring, troubleshooting, and ensuring rollback readiness.

Required Qualifications & Experience
- Bachelor’s degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or a related field.
- Minimum of 3 years’ experience in AI/ML engineering or model development, including at least 1 year of hands-on experience in model deployment within production environments.
- Proven track record of taking at least one AI/ML model through evaluation and successful deployment in a production setting.
- Proficiency in Python programming and practical experience with machine learning frameworks, model libraries, Linux environments, containerization, and inference APIs.
- Hands-on experience with large language model (LLM) evaluation, fine-tuning, and GPU-based inference, with the ability to assess quality, latency, and cost trade-offs effectively.
- Strong analytical, troubleshooting, documentation, and teamwork skills.

Preferred Qualifications
- Experience working with government or enterprise AI applications, multilingual models, or Urdu-language evaluation is highly desirable.
- Familiarity with Kubernetes, inference scaling, model quantization techniques, and secure deployment environments.
- Understanding of data privacy regulations, model licensing, information security principles, and responsible AI practices.

The application deadline is 15 days from the date of publication, but applications will be reviewed on a rolling basis until the position is filled. Interested candidates are encouraged to apply promptly. This position is listed under job code PDA-J184 on the Pakistan Digital Authority careers page.

Job Details

Total Positions:

1 Post

Job Shift:

Full Time

Job Type:

First Shift (Day)

Job Location:

Islamabad, Pakistan

Gender:

No Preference

Age:

18 - 65 Years

Minimum Education:

Master

Degree Title:

Bachelor’s degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or a related discipline. At least 3 years of relevant experience in AI/ML engineering or model development, including at least 1 year of hands-on mode

Career Level:

Mid-Level

Maximum Experience:

2 Years

Apply Before:

Nov 04, 2026

Posting Date:

Oct 29, 2026