Quality Assurance Engineer (AI / ML)

**Full-Time / Direct Hire**

**Position: QA Engineer - AI Team**

We are looking for a seasoned Senior QA Engineer to join our AI team. The successful candidate will have a robust background in quality assurance and significant experience with AI technologies. This role requires a proactive approach to ensuring top-tier software quality in our AI projects.

Key Responsibilities

- Develop and execute detailed test strategies and plans for generative AI models and applications.

- Design, implement, and maintain automated testing frameworks and scripts to maximize test coverage and efficiency.

- Conduct functional, integration, regression, performance, and security testing on AI solutions.

- Identify, document, and manage defects, working closely with the development team to resolve issues promptly.

- Collaborate with product owners, engineers, and ML Ops to develop production-ready AI models that align with EP’s product vision.

- Analyze test results, produce reports, and communicate findings to stakeholders.

- Stay abreast of the latest trends and advancements in AI and software testing methodologies.

- Collect and analyze large datasets to evaluate the performance of current and new AI models.

Qualifications

- Bachelor’s or Master’s degree in Computer Science, Mathematics, Data Science, or a related field.

- 3-5 years of experience in software quality assurance, with a focus on AI/ML applications.

- Strong understanding of AI/ML concepts, including generative models.

- Proficiency with testing tools and frameworks such as Selenium or similar.

- Advanced scripting skills in languages such as Python, JavaScript, or Shell.

- Experience with CI/CD practices and tools like Jenkins, GitLab CI, or similar.

- Proven track record in testing large-scale AI models and data pipelines.

- Knowledge of natural language processing (NLP) and computer vision.

- Contributions to open-source projects or published research papers are advantageous.

- Familiarity with RAG and vector search.

- Experience with cloud platforms such as AWS or Google Cloud.