Company Description
Xoomtech (headquartered in Dubai, UAE) designs and builds cutting-edge digital products for businesses across the region. We help organisations modernise operations, improve customer and employee experiences, and leverage data for better decision-making. From custom software development to data-driven automation, Xoomtech focuses on practical, scalable, and measurable solutions. With a commitment to speed, security, and impact, we partner with businesses for long-term growth.
Role Description
We are hiring a full-time, remote AI/ML Engineer (Karachi-based) to develop, deploy, and optimise machine learning models that solve real business problems. You will work closely with product, engineering, and business stakeholders to integrate AI/ML into production workflows, measure performance, and continuously improve model accuracy and efficiency.
This role suits someone who enjoys building end-to-end ML solutions—moving beyond notebooks into reliable, maintainable systems that create measurable outcomes.
Key Responsibilities
- Design, train, evaluate, and optimise ML models for business use cases
- Build and maintain forecasting and predictive analytics solutions (especially time series)
- Perform data exploration, feature engineering, and statistical analysis on large structured datasets
- Develop model deployment pipelines (REST APIs, microservices, batch jobs) and monitor performance in production
- Collaborate with engineering teams to integrate models into product workflows and internal tools
- Define and track model metrics (accuracy, drift, latency), and iterate based on results
- Contribute to best practices around MLOps, testing, documentation, and reproducibility
Requirements
- Strong proficiency in Python and ML/data libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch)
- Hands-on experience with time series forecasting (e.g., ARIMA, Prophet, LSTM, XGBoost, or similar)
- Strong understanding of statistical modelling and predictive analytics
- Experience working with large structured datasets (payroll, HR, financial datasets preferred)
- Knowledge of data pipelines and ETL processes
- Experience deploying ML models (e.g., REST APIs, microservices, batch jobs)
- Familiarity with cloud platforms (AWS, GCP, Azure)
- Understanding of database systems (PostgreSQL, MySQL, MongoDB)
Qualifications
- Strong knowledge of Machine Learning, including pattern recognition and neural networks
- Solid Computer Science fundamentals (algorithms, software development practices)
- Demonstrated experience in statistics and data analysis
- Ability to design, implement, and optimise AI/ML models for practical, real-world applications
- Excellent problem-solving and critical-thinking skills
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
- Prior experience delivering applied AI/ML projects (highly desirable)
Job Type: Full-time
Pay: Rs50,000.00 - Rs60,000.00 per month
Work Location: Remote