9 months ago
Peshawar, PakistanStaff+
Responsibilities
- Design, build, deploy, monitor, and retrain scalable machine learning models and pipelines.
- Develop data preprocessing, feature engineering, model evaluation, and production-integration workflows.
- Analyze large datasets and optimize models for performance, scalability, and reliability.
- Define and manage test automation tools, frameworks, methodologies, coverage, and backlogs.
- Lead and mentor QA Analysts in delivering maintainable automated test suites on schedule and within budget.
- Embed automated testing into CI/CD pipelines and generate test data while setting up and validating environments.
- Conduct peer reviews, promote shift-left QA and automation-first practices, and assist with ad hoc testing duties.
- Participate in establishing and maturing the RMIT QA Community of Practice.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
- Strong understanding of supervised learning, unsupervised learning, and deep learning algorithms.
- Proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
- Experience with Pandas and NumPy for data processing.
- Knowledge of SQL, data storage systems, model evaluation metrics, and validation techniques.
- Experience defining test automation approaches, managing QA automation tools, and leading or mentoring QA Analysts.
Categories
About Kombo
Kombo builds a unified API that lets developers integrate with HRIS, ATS, and payroll systems through a single connection, covering 100+ providers. The company sells its integration platform to HR and workforce software vendors and internal developer teams. Founded in 2022 and headquartered in New York, it is privately held and backed by a Series A round.