9 months ago
Peshawar, PakistanEntry Level
Responsibilities
- Design, build, and deploy scalable machine learning models and pipelines.
- Analyze large datasets to extract insights and improve model performance.
- Develop and maintain data preprocessing, feature engineering, and model evaluation workflows.
- Optimize models for performance, scalability, and reliability.
- Integrate ML models into production systems and APIs.
- Monitor model performance and retrain models as needed.
- Define, implement, and manage test automation tools, frameworks, and methodologies.
- Lead QA Analysts in delivering maintainable automated test suites.
- Embed automated testing into CI/CD pipelines in collaboration with DevOps.
- Estimate test automation resources, licensing, and infrastructure needs.
- Mentor QA Analysts, conduct peer reviews, and manage automation backlogs.
- Generate test data and validate application environments.
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 and machine learning libraries including TensorFlow, PyTorch, and Scikit-learn.
- Experience with Pandas and NumPy for data processing.
- Knowledge of SQL and data storage systems.
- Understanding of model evaluation metrics and validation techniques.
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.