Position: Senior SDET
Location: Bengaluru, Karnataka, India
Best Watches available for you on Amazon FashionKey Responsibilities
Test Planning and Strategy:
- Develop, implement, and maintain test strategies, test plans, and test cases for our ML-based products.
- Collaborate closely with data scientists, ML engineers, and product managers to understand the complexities and nuances of ML models, data pipelines, and algorithms.
- Ensure testing processes adequately cover the areas of data integrity, model accuracy, model fairness, and end-to-end system functionality.
Automation Development
- Design and implement robust, scalable, and maintainable test automation frameworks and test cases.
- Optimize continuous integration/continuous deployment (CI/CD) processes to support ML model training and inference pipelines.
- Identify and leverage appropriate ML-specific testing tools and libraries to improve the efficiency of the testing process.
Quality Assurance
- Ensure high-quality data ingestion, processing, model training, and deployment.
- Lead root cause analysis on ML model and pipeline failures, ensuring issues are identified, logged, and prioritized.
- Validate the correctness, robustness, and scalability of data science solutions, ensuring they meet business requirements and user needs.
Collaboration And Communication
- Collaborate closely with cross-functional teams to ensure the smooth integration of ML models into production systems.
- Advocate for quality throughout the development process, working closely with developers to ensure best practices are followed.
- Report on test status, quality metrics, and issues to stakeholders on a regular basis.
Continuous Learning
- Stay updated with the latest in testing methodologies, tools, and best practices in the realm of data science and ML.
- Act as a mentor to junior team members, providing guidance and insights into the world of ML testing.
Qualifications
- Bachelor’s/Master’s degree in Computer Science, Data Science, or related field.
- 5+ years of experience as an SDET or similar role, with at least 2 years focused on data science or ML products.
- Proven expertise in testing tools such as Selenium, JUnit, TestNG, and ML-specific testing tools.
- Solid understanding of ML algorithms, data pipelines, and model evaluation metrics.
- Experience with cloud platforms like AWS, GCP, or Azure.
- Strong coding skills in Python, Java, or other relevant languages.
- Excellent problem-solving, analytical, and communication skills.
Nice to Have
- Experience with Reltio or similar platforms.
- Knowledge of ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Experience with big data technologies like Hadoop, Spark, and Kafka.
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