ML / Data Engineer

Karachi

Apply before Jun 13, 2026

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.