ML QA Engineer: Model & Data Validation

Info Resume Edge; Sharjah; On-site; AED 200,000 - 300,000; Full time

Job summary

A tech-driven company is seeking a detail-oriented Machine Learning QA Engineer to ensure the quality and reliability of ML models. You will design and implement test strategies, develop automated testing frameworks, and collaborate with teams for seamless model deployment. The ideal candidate holds a Bachelor's or Master's in a related field and has proven experience in QA for machine learning systems, along with strong skills in software testing practices. This role promises a dynamic work environment focused on innovation.

Qualifications

• Bachelor's/Master's degree in a related field is mandatory.
• Proven experience in QA/testing of machine learning systems required.
• Strong understanding of software testing practices is essential.
• Experience with Python and testing frameworks is necessary.

Responsibilities

• Design and implement test strategies for machine learning pipelines.
• Develop automated testing frameworks for validating ML model inputs.
• Collaborate with teams for seamless model deployment.
• Evaluate data quality throughout the ML lifecycle.

Skills

Quality Assurance

Machine Learning

Automated Testing

Data Validation

Software Testing Practices

Collaboration

Python

Education

Bachelor's/Master's degree in Computer Science, Data Science, or related field

Tools

Python Testing Frameworks (e.g. PyTest, unittest)

ML Frameworks (e.g. TensorFlow, PyTorch, Scikit-learn)

Data Validation Tools (e.g. Great Expectations)

CI/CD Tools (e.g. Git, Jenkins)

Job description

A tech-driven company is seeking a detail-oriented Machine Learning QA Engineer to ensure the quality and reliability of ML models. You will design and implement test strategies, develop automated testing frameworks, and collaborate with teams for seamless model deployment. The ideal candidate holds a Bachelor's or Master's in a related field and has proven experience in QA for machine learning systems, along with strong skills in software testing practices. This role promises a dynamic work environment focused on innovation.