Quality Assurance Engineer

2 months ago

Bengaluru, India Indium Software Full time

Job Description :


You will combine your software testing expertise with your understanding of machine learning to design and execute comprehensive test plans that identify and mitigate issues before models are deployed to production.

Responsibilities :

Machine Learning Expertise :

- Translate business problems into machine learning problems.

- Understand and apply machine learning techniques (e.g., classification, regression) to analyze large-scale, multi-structured datasets.

- Stay up-to-date on the latest research papers, tools, and techniques in the field of machine learning and explore their potential applications within our business processes.

- Identify opportunities to leverage machine learning for automated test case generation and data validation.

- Software Development Lifecycle (SDLC) Integration:

- Collaborate effectively with cross-functional teams (Business Analysts, Data Scientists, Software Developers) throughout the SDLC to ensure quality throughout the machine learning model development process.


- Work independently and unsupervised to design, execute, and document test plans for machine learning models.

- Develop and maintain automated test scripts using frameworks like Selenium and Java.

Full Model Lifecycle Ownership :

- Take end-to-end responsibility for model development, including data exploration, training data preparation, feature engineering, model development, validation, scoring, and deployment.

- Identify and address data quality issues that could impact model performance.

- Develop and implement unit tests for machine learning code.

Communication and Collaboration :

- Communicate effectively with both technical (IT, Data Engineering) and non-technical stakeholders (Business Analysts, Product Managers).

- Clearly document test plans, findings, and recommendations in a concise and easy-to-understand manner.

Technical Skills & Requirements :

- Experience with software development methodologies (e.g., Agile)

- Experience with SQL for data retrieval and manipulation

- Experience with testing frameworks like BDD (Behavior-Driven Development) and Page Object Model (POM)

- Experience with Rest API testing

- Programming experience in Java or Python (a plus)

- Familiarity with Machine Learning concepts (classification, regression, etc.)

- Experience with data exploration and manipulation tools

- Excellent analytical and problem-solving skills

- Strong communication and collaboration skills

Bonus Points :

- Experience with cloud platforms (AWS, Azure, GCP)

- Experience with machine learning libraries (Scikit-learn, TensorFlow, PyTorch)

- Experience with model deployment tools (MLflow, Kubeflow)

(ref:hirist.tech)

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