Machine Learning Engineer / Quantitative ML (Trading & Risk)

Job details

Job Description: Job Title: Machine Learning Engineer / Quantitative ML (Trading & Risk) Location: Karachi, Pakistan (on-site) Employment Type: Full-Time, Morning Shift Company: AL MAHIDHA GROUP OF COMPANY Role Summary: • Design, develop and deploy ML models to support trading signals, risk scoring, anomaly detection, and portfolio analytics. • Develop end-to-end ML pipelines: data ingestion, feature engineering, model training, validation, and production deployment. • Collaborate with traders, data engineers, and QA to translate business requirements into production-ready services. • Optimize models for latency and throughput for real-time or near-real-time scoring; monitor performance and retrain as required. • Implement evaluation frameworks including backtesting and A/B testing; detect and guard against data drift and bias. • Communicate technical results to non-technical stakeholders and support integration with production systems.Job Specification: Must-have: • Strong Python proficiency • Experience with scikit-learn, TensorFlow, or PyTorch • Time-series modeling; supervised & unsupervised learning; anomaly detection • Feature engineering, hyperparameter tuning, cross-validation, model evaluation for financial use cases • Data processing with Pandas, NumPy; experience building ETL pipelines or working with data warehouses • Production deployment and serving: Docker, REST APIs, model serving frameworks; logging, metrics, alerts • Latency optimization, online inference, scalable architecture for near-real-time scoring • SQL and experience with cloud platforms or on-prem compute for training/deployment Preferred: • Advanced degree or certifications in ML/data science/financial engineering • Experience with backtesting, A/B testing, and working with trading or compliance teamsJob Rewards and Benefits: Accomodation,Communication,Gratuity,Health Insurance,Incentive Bonus,Leaves,Life Insurance,Medical,Pension,Provident Fund,Sports and Entertainment,Transport