QA Engineering Lead

**About Fusemachines**

Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic and more than 400 full-time employees) Fusemachines seeks to bring its global expertise in AI to transform companies around the world.

**Position Overview**

The QA Engineering Lead will collaborate closely with cross-functional teams, mentor junior QA engineers, and drive the adoption of best practices in ML Application testing methodologies.

**_This is a remote, contract position._**

**Responsibilities**
- Drive the adoption of automated testing tools and frameworks to increase testing efficiency and coverage.
- Create strategies and tests for new product features, in addition to executing regression testing of existing features.
- Work with development teams to develop test plans, test suites, and test cases to ensure that the software stack is thoroughly verified and validated through manual and automated methods.
- Submit, track, and verify defects through the software development lifecycle, ensuring timely resolution.
- Write documents, tests, scripts, and tools to help facilitate testing and improve efficiency.
- Define and establish QA metrics, measuring the effectiveness of testing processes and identifying areas for improvement.
- Collaborate with product owners, machine learning engineers, and software engineers to ensure alignment on quality objectives and priorities.
- Design and execute testing for ML models, including functional, performance, and scalability testing.
- Mentor and provide guidance to junior QA engineers on testing methodologies and best practices.
- Stay current with industry trends and advancements in ML testing techniques and tools.
- Participate in release planning and deployment activities for ML-driven features, ensuring smooth integration and deployment.
- Investigate and troubleshoot issues related to ML model performance or behavior, working closely with data scientists and engineers to resolve them.
- Conduct functional, regression, performance, and security testing as needed.
- Drive the adoption of automated testing tools and frameworks to increase testing efficiency and coverage.
- Define and establish QA metrics to measure the effectiveness of testing processes and identify areas for improvement.
- Participate in release planning and deployment activities, ensuring a smooth and successful release process.
- Investigate and troubleshoot issues reported by customers or internal stakeholders, identifying root causes and driving resolution.

**Qualifications**:

- Bachelor's degree in Computer Science, Engineering, or related field; or equivalent work experience.
- Familiarity with basic machine learning concepts
- Familiarity in programming languages commonly used in ML development (e.g., Python, R, etc.).
- Experience in designing and implementing effective test strategies for ML models including LLM's
- Excellent analytical and problem-solving skills, with a keen attention to detail.
- Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
- Experience with Agile development methodologies is preferred.
- Familiarity with LLM evaluation frameworks
- Hands-on experience with automated testing tools and frameworks (e.g., Selenium, JUnit, TestNG, etc.).
- Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws._

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