Lead Automation Test Engineer - Machine Learning - M L
Cigres Technologies Private Limited (company site, opens in a new tab)6–8 yrsBengaluruOn-siteDirect career pageEst. 10–16 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and execute comprehensive validation and verification strategies for classical machine learning models across their lifecycle.
- Develop and maintain scalable Python-based automated test frameworks integrating with CI/CD and ML-Ops pipelines for data, model, API, and batch workflows.
- Define and validate monitoring and quality metrics for ML models in production, handle incident analysis, and collaborate across teams for release readiness and continuous improvement.
Minimum Requirements
- 6-8 years of experience in software testing and test automation, including practical exposure to AI/ML or data-intensive applications.
- Strong Python programming and hands-on experience with PyTest or equivalent test frameworks.
- Bachelor’s degree in Engineering, Computer Science, Data Science, or a related discipline (B.E./B.Tech).
- Experience with machine learning concepts, model lifecycle, evaluation metrics, data pipeline and API testing, CI/CD pipelines, ML-Ops knowledge, and cloud platforms like Azure, AWS, or Databricks.
Ideal Candidate Profile
- Experienced in end-to-end ML quality assurance including risk-based test planning and validation across diverse ML use cases like classification, regression, clustering, and anomaly detection.
- Proficient in building automation frameworks that support complex ML pipelines and integrate with operational monitoring and deployment workflows.
- Capable of collaborating across multi-disciplinary teams (Data Science, ML Engineering, Product) in dynamic environments with onshore-offshore delivery models, ensuring actionable quality insights for business impact.