Title

ML / Data Engineer

Apply before

Jun 13, 2026

City

Karachi

Responsibilities

·        Design and implement end-to-end data pipelines (ETL/ELT) using Apache Spark, Airflow, or dbt

·        Collect, clean, label, and version datasets for ML model training

·        Train, evaluate, and iterate on ML/DL models (classification, regression, NLP, CV)

·        Export and optimize models for mobile deployment (TF Lite, ONNX, CoreML conversion)

·        Set up and maintain MLOps infrastructure: experiment tracking, model registry, and monitoring

·        Build data warehouses and feature stores to support real-time and batch inference

·        Monitor production model performance and trigger retraining pipelines on data drift

·        Document datasets, model cards, and pipeline architecture

·        Leverage AI coding assistants and LLM APIs (Claude, Gemini, ChatGPT) to accelerate data analysis, model debugging, and pipeline scripting

Requirements

·        3+ years of experience in data engineering and/or machine learning

·        Strong Python skills with proficiency in pandas, NumPy, scikit-learn, and either TensorFlow or PyTorch

·        Experience building and managing data pipelines at scale

·        Familiarity with SQL and at least one NoSQL data store

·        Experience with cloud ML services (AWS SageMaker, GCP Vertex AI, or Azure ML)

·        Understanding of model evaluation metrics and statistical validation

·        Demonstrated hands-on proficiency with AI tools: Claude, Gemini, ChatGPT for data analysis; Cursor or GitHub Copilot for pipeline scripting; and Replit for rapid ML prototyping

Benefits

• Excellent Salary
• Car Allowance
• Fuel Allowance
• Medical Insurance
• Annual Leaves
• Provident Fund
• EOBI
• Annual Bonus
• Sick Leaves
• Casual Leaves