Middle Validation Engineer in Machine Learning Team (#57)

Your expertise:

• High enthusiasm and a strong desire to use AI, embodied in activities or education in the AI area
• 2+ years experience in manual software testing
• Experience in backend and API testing
• Deep understanding of testing theory and test design techniques
• Experience in creating test documentation (test cases, checklists, test reports, etc.)
• Basic knowledge of Git
• Basic experience in SQL scripting and database structure
• Great desire for professional development
• Good sense of humor

Will definitely be a plus:

• Experience in prompt engineering
• Experience in testing Generative AI services (chatbots with LLM, or others)
• Experience in creating technical documentation: API service contracts, service architecture descriptions, and release plans
• Experience in creating business documentation: presentations, business requirements, functional specifications
• Experience with log analysis (ElasticSearch or similar tools).
• Experience with monitoring systems (Grafana, NewRelic or similar tools)
• Experience with Docker
• Knowledge of CI / CD (Jenkins or similar tools)
• Experience in programming on Python (or other programming language)
• Knowledge in Performance, Load, Stress testing
• Experience in Linux OS
• Participation in Generative AI startups or pet projects
• English intermediate plus level

What’s in it for you?

• Decent market rate compensation depending on experience and skills
• “You build it, you own it” mentality in most contexts
• Support of personal and professional development
  
  • support of experienced colleagues
  • in-house events and trainings
  • regular knowledge sharing in teams
  • English classes and speaking clubs
• Life-balance support
  
  • 25 working days of vacation
  • 5 days of paid sick leave per month (if necessary) without providing a medical certificate
  • maternity leave program
• Professionally strong environment, friendly and open atmosphere, ability to influence the product development and recognition for it

You will be involved into:

• Ensuring quality of the services and processes
• Clarification of requirements
• Participation in the creation of technical and business documentation
• Development and maintenance of test documentation
• Manual testing of API services, Generative AI services, and infrastructure changes
• Bug reporting and management
• Supporting releases, and monitoring of services after releases

About the company and project:

ZONE3000 is proud to represent its partnership with Namecheap (www.namecheap.com). Namecheap was founded in 2000 on the idea that all people deserve value-priced domains delivered through stellar service. Today, Namecheap is a leading ICANN-accredited domain name registrar and web hosting company with over 13 million customers and 17 million domains under management — and we’re just getting started.

Our culture is built on the values that we live every day: the way we work, the way we collaborate with our global network of colleagues and the way we relentlessly innovate solutions that meet the emerging needs of our customers.

Namecheap has been on the market for 20+ years and is the 2nd largest domain registry in the world. We are the Namecheap Machine Learning Team. The team prototypes and develops innovative systems with Machine Learning. At the moment, there are more than 10 services in Production in the areas of Emails, Payments, Customer Service, and Analytics. Some of them have proven quality at the level of market leaders. The team provides all the conditions for active professional growth. The culture combines the best from enterprises and startups: a high level of professionalism, truly innovative technologies, friendliness, and stability