ML / Data Engineer

TitleML / Data EngineerApply beforeJun 13, 2026CityKarachiResponsibilities· 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 scriptingRequirements· 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 prototypingBenefits * Excellent Salary * Car Allowance * Fuel Allowance * Medical Insurance * Annual Leaves * Provident Fund * EOBI * Annual Bonus * Sick Leaves * Casual Leaves