Job Description
As a Machine Learning Test Engineer, you will work closely with the Deep Learning
team to develop a state-of-the-art test harness and process. You will be expected to
design and implement a comprehensive testing framework, evaluating the
performance of our privacy solutions in various ML contexts, and ensuring their
reliability and consistency across different environments. You will be instrumental in
integrating these testing processes into our continuous integration and deployment
(CI/CD) pipeline, ensuring the highest standards of quality in our AI privacy solutions.
As a Machine Learning Test Engineer, you will work closely with the Deep Learning
team to develop a state-of-the-art test harness and process. You will be expected to
design and implement a comprehensive testing framework, evaluating the
performance of our privacy solutions in various ML contexts, and ensuring their
reliability and consistency across different environments. You will be instrumental in
integrating these testing processes into our continuous integration and deployment
(CI/CD) pipeline, ensuring the highest standards of quality in our AI privacy solutions.
Requirements
A successful candidate will bring at least 4 – 5 years of experience and possess the
following skills:
A successful candidate will bring at least 4 – 5 years of experience and possess the
following skills:
- Proven experience in testing APIs and machine learning models (especially LLMs)
Strong understanding of ML workflows - Proficient in programming with Python
- Deep understanding of different testing methodologies
- Experience with testing frameworks and tools
- Excellent problem-solving skills and attention to detail
- Strong verbal and written communication skills
Preferred
- Experience writing user-facing documentation is highly desirable
- General knowledge of CI/CD processes and tools (GitHub Actions)
Please email info@protopia.com to apply.