Related skills
forecasting python ci/cd rest apis ml📋 Description
- Lead, mentor, and grow a team of AI QA Engineers.
- Define QA strategy for AI/ML models, with focus on time-series forecasting.
- Design, develop, and maintain automated test frameworks.
- Guide the team in testing AI-powered features and APIs.
- Champion BDD with Gherkin to create clear tests.
- Ensure RESTful API testing meets quality and performance standards.
🎯 Requirements
- Extensive experience automating QA with Python.
- Proven experience leading/mentoring a QA team.
- Deep understanding of ML concepts and testing ML models (time-series forecasting).
- Expertise with testing frameworks such as pytest.
- Strong experience with Behavior-Driven Development (BDD) and Gherkin.
- In-depth knowledge of API testing and validation.
🎁 Benefits
- Lead AI QA at a fast-growing company shaping AI-powered products.
- Collaborative, open and inclusive leadership culture.
- Opportunities for professional growth and defining your team's trajectory.
- Commitment to diversity, equity, inclusion and belonging.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!