What if you could work on AI systems that actually solve problems for millions of people—without leaving Pakistan?
That’s exactly what we’re offering.
We’re a growing tech team based in Lahore, focused on building practical machine learning solutions for local and international clients. From fraud detection in fintech apps to predictive maintenance for manufacturing units, our work touches real lives. And right now, we need a sharp, hands-on Machine Learning Engineer to join us.
This isn’t just another job posting filled with buzzwords. It’s a real chance to grow your career in one of the fastest-moving fields in Pakistan’s tech scene. Whether you’re a fresh graduate eager to dive into deep learning or a seasoned pro looking for a fresh challenge, this role is built for people who want to do, not just talk.
Machine learning jobs in Pakistan are heating up—especially in cities like Lahore, Islamabad, and Karachi. But most roles either demand PhD-level research or offer entry-level pay with zero mentorship. We’re different. We value curiosity, grit, and the ability to ship code that works. No gatekeeping. No fluff.
In my experience, the best ML engineers aren’t the ones with the fanciest degrees—they’re the ones who’ve trained models on messy real-world data, debugged pipelines at 2 a.m., and learned from every failed experiment. If that sounds like you, keep reading.
General Information
| Date Posted | April 5, 2026 |
| Vacancies | 2 |
| Job Type | Full-time |
| Location | Lahore, Punjab, Pakistan (Hybrid option available) |
| Salary | PKR 80,000 – 150,000 per month (based on experience) |
| Application Deadline | May 10, 2026 |
Company Overview
We’re not a startup chasing hype. We’re a stable, privately-held organization that’s been quietly building AI-powered tools for Pakistani businesses since 2019. Our clients include banks, logistics companies, and healthcare providers—all looking for smart automation that actually works in local conditions.
What sets us apart? We don’t outsource our core ML work. Everything from data cleaning to model deployment happens in-house, which means you’ll get end-to-end exposure. No silos. No “just do what you’re told.” You’ll collaborate directly with product managers, data engineers, and even clients to understand the problem before writing a single line of code.
Honestly, most machine learning jobs in Pakistan treat engineers like code monkeys. Here, your ideas shape the product. Last quarter, one of our junior engineers proposed a lightweight NLP model for Urdu customer support tickets—now it’s live and saving our client 30 hours a week. That’s the kind of impact we reward.
Eligibility Criteria
Qualifications
You don’t need a master’s degree to apply—but you do need solid fundamentals. We care more about what you can build than what’s on your diploma.
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field (or equivalent practical experience)
- Strong understanding of core ML concepts: supervised/unsupervised learning, overfitting, bias-variance tradeoff, evaluation metrics
- Proficiency in Python and libraries like Scikit-learn, Pandas, NumPy
- Familiarity with at least one deep learning framework (TensorFlow, PyTorch, or Keras)
- Basic knowledge of SQL and working with databases
Experience
We welcome both freshers and experienced candidates. If you’re new to the field, show us what you’ve built.
- Freshers: Completed at least one substantial ML project (academic, personal, or open-source). Bonus if it’s deployed or uses real data.
- 1–3 years: Experience training and evaluating models on structured or unstructured data. Exposure to MLOps tools (MLflow, Docker) is a plus.
- 3+ years: Proven track record of deploying models in production environments. Experience with cloud platforms (AWS, GCP, or Azure) preferred.
Age Limit
No strict age limit. We hire based on skill, not birth year. However, candidates must be legally eligible to work in Pakistan.
Key Responsibilities
Here’s what you’ll actually do day-to-day—no vague “collaborate with teams” nonsense.
- Collect, clean, and preprocess datasets from diverse sources (CSV files, APIs, databases, web scraping)
- Design, train, and validate machine learning models for classification, regression, and clustering tasks
- Implement deep learning solutions for computer vision or NLP problems (e.g., document classification, image tagging)
- Optimize model performance through hyperparameter tuning, feature engineering, and ensemble methods
- Work with data engineers to build scalable data pipelines using tools like Apache Airflow or Prefect
- Deploy models using containerization (Docker) and serve them via REST APIs (FastAPI or Flask)
- Monitor model performance in production and retrain as needed based on drift detection
- Document your work thoroughly—code comments, READMEs, and internal wikis are non-negotiable
The best part? You won’t be stuck doing the same thing every week. One month you might be building a recommendation engine for an e-commerce client; the next, you could be fine-tuning a speech recognition model for rural telehealth calls. Variety keeps things interesting.
Benefits & Perks
Why you’ll love working here—beyond the paycheck.
- Competitive salary with performance-based bonuses (paid quarterly)
- Health insurance covering you and your immediate family
- Flexible working hours—core hours are 10 AM to 3 PM; the rest is up to you
- Hybrid work model: 3 days in office, 2 days remote (after probation)
- Annual learning budget: PKR 50,000 for courses, conferences, or certifications (Coursera, Udacity, etc.)
- Mentorship from senior ML practitioners with 5+ years of industry experience
- Access to high-performance GPU clusters for training large models
- Quarterly team retreats (last one was in Murree—yes, with snowball fights)
To be fair, we’re not perfect. But we listen. Last year, after team feedback, we switched from Jira to ClickUp and doubled our snack budget. Small things matter.
Salary & Deadline
The salary range for this machine learning engineer job in Pakistan is PKR 80,000 to 150,000 per month, depending on your experience and project portfolio. Freshers start at the lower end but can reach PKR 120,000 within 18 months with strong performance.
For context: according to recent surveys by local tech communities, the average machine learning engineer salary in Pakistan ranges from PKR 60,000 (entry-level) to PKR 200,000 (senior roles in multinational firms). We sit comfortably in the upper-mid tier—fair pay for fair work.
Don’t wait until the last minute. The deadline is May 10, 2026. Applications close at 11:59 PM PKT. Late submissions won’t be considered—no exceptions.
How to Apply
Ready to apply? Follow these steps carefully. Missing one could cost you the interview.
- Prepare your resume in PDF format. Include links to your GitHub, LinkedIn, and any deployed projects.
- Write a short cover letter (max 300 words). Tell us about a machine learning problem you solved—and why it mattered.
- Email both documents to careers@reputableorg.pk with the subject line: “ML Engineer Application – [Your Full Name]”.
- Make sure to double-check your docs. Typos, broken links, or missing files = automatic rejection.
- We’ll review applications weekly and invite shortlisted candidates for a technical screening within 10 days.
Pro tip: If you’ve worked on Urdu or regional language NLP, mention it. That’s a rare skill here—and we’d love to see it.
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Frequently Asked Questions
Q: Do I need to know deep learning to apply?
A: Not necessarily. While deep learning jobs in Pakistan are growing, many of our projects use traditional ML (like XGBoost or logistic regression). If you’re eager to learn DL on the job, that’s even better—we’ll support you.
Q: Is this role open to fresh graduates?
A: Absolutely. We’ve hired three freshers in the past year. As long as you’ve built something real—even a college project—you’re eligible for machine learning jobs in Pakistan for freshers like this one.
Q: Will I get relocation support if I’m not in Lahore?
A: We don’t offer relocation packages, but we do provide a PKR 15,000 joining bonus to help with initial setup costs. Remote work is possible after 6 months of proven performance.
Q: What’s the interview process like?
A: Two rounds: a 45-minute technical screening (coding + ML theory) and a 60-minute system design + culture fit session. No whiteboard torture—just real problems we’ve faced.
Q: Are there opportunities for promotion?
A: Yes. Within 2 years, top performers move into lead roles or specialize in areas like MLOps or research. One of our current team leads started as a junior engineer in 2022.
Look, the AI space in Pakistan is still young. But it’s growing fast. Companies are finally realizing that machine learning isn’t just for Silicon Valley—it can solve local problems, too. From optimizing crop yields with satellite data to detecting fake invoices in government procurement, the opportunities are everywhere.
This role isn’t about chasing trends. It’s about building useful, maintainable systems that deliver value. If you’re tired of theoretical exercises and want to see your models actually used by real people, we should talk.
Simple as that.