Senior AI / Machine Learning Engineer (Core Modeling – Python)

• Note:

Candidates whose primary experience is limited to integrating third-party LLMs, prompt engineering, or API-based AI solutions will not be considered.

Job Summary

We are looking for a core AI expert who designs, builds, trains, and optimizes machine learning and deep learning models from scratch. This role is not for candidates whose primary experience is integrating third-party LLMs, writing prompts, or consuming AI APIs.

The ideal candidate has strong fundamentals in mathematics, statistics, and algorithms, and hands-on experience developing custom ML/DL models in Python for real-world production systems.

What This Role IS

• Building custom ML/DL models
• Designing model architectures
• Training, tuning, and evaluating models
• Working with raw data → features → models → deployment
• Research-driven and engineering-driven AI work

What This Role IS NOT

❌ Prompt engineering

❌ LLM API integration (OpenAI, Gemini, Claude, etc.)

❌ “Glue code” around pre-trained models

❌ No-code / low-code AI tools

Key Responsibilities

• Design and implement machine learning models from scratch (supervised, unsupervised, and deep learning)
• Develop and train models using PyTorch / TensorFlow / JAX
• Perform feature engineering, data preprocessing, and dataset curation
• Optimize models for accuracy, performance, and scalability
• Implement training pipelines, evaluation metrics, and validation strategies
• Conduct experiments and research to improve model performance
• Work with large datasets and handle model overfitting, bias, and drift
• Deploy models into production and monitor real-world performance
• Collaborate with backend and data engineers on model integration

Required Skills (Must-Have)

• Strong Python (NumPy, Pandas, SciPy)
• Deep understanding of ML fundamentals:
• Linear algebra
• Probability & statistics
• Optimization techniques
• Hands-on experience building models using:
• PyTorch or TensorFlow
• Experience with:
• Regression, classification, clustering
• CNNs, RNNs, Transformers (architecture-level understanding)
• Experience training models on real datasets (not just tutorials)
• Ability to explain why a model works, not just how to call it

Nice to Have

• Experience building:
• Recommendation systems
• Computer vision models
• Time-series forecasting models
• Anomaly detection systems
• Experience with:
• Distributed training
• Model compression / quantization
• MLOps (MLflow, Kubeflow, custom pipelines)
• Research background or published work is a plus

Experience Level

• 5+ years of hands-on experience in machine learning / AI modeling
• Proven experience building and deploying custom models

Job Type: Full-time

Pay: Rs300,000.00 - Rs500,000.00 per month

Application Question(s):

• Have you designed and trained machine learning or deep learning models from scratch (not just fine-tuned pre-trained models)?
• Is your experience more than 5 years in hands-on ML/AI model development?
• Have you deployed custom-trained ML/DL models into production environments?
• Have you worked directly with raw datasets, including feature engineering and preprocessing?
• Do you have experience handling overfitting, bias, data drift, or model degradation in real systems?
• Are you willing to work onsite from 12:00 PM to 9:00 PM at our Evacuee Trust Complex (F-5), Islamabad office? (Yes/No)
• How soon can you join if selected? (Immediately / 1–2 weeks / 1 month / More than 1 month)

Work Location: In person