Your expertise: * High personal interest and self-development in AI / ML * Experience in creating Production services as an ML Engineer * Experience with Data Science and Quantitative Analysis activities.
Will definitely be a plus: * Experience with AI / ML services for marketing and sales: product recommendation, retention, customer segmentation, personalization, or others * High personal interest in Quant, algorithmic strategies, Finance, DeFi * Experience with creating and supporting algorithmic strategies, including their risk management * Experience in systematically monitoring and evaluating the performance of AI/ML solutions with a set of KPIs * Experience with Agentic AI: multi-agent systems, complex prompt engineering, LLM finetuning * Experience with documenting solution architecture and experiment reports * Experience with Research & Development projects * Experience in AI / ML startups or personal pet projects
What’s in it for you? * Opportunity to deal with top-notch technologies and approaches in a world-leader product company with millions of customers * Opportunity to make a difference for online privacy, freedom of speech, and net neutrality * Decent market rate compensation depending on experience and skills * Developed corporate culture: no micromanagement, culture based on principles of truth, trust, and transparency * Support of personal and professional development * coverage of costs of external trainings, conferences, professional literature * 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 year without providing a medical certificate (no limitation on sick leaves with medical confirmation) * generous maternity / paternity leave program * Professionally strong environment, friendly and open atmosphere, ability to influence the product development and recognition for it
You will be involved into: * Perform extensive ML and Data Science research for new AI / ML solutions * Develop new AI / ML solutions and participate in the architecture definition * Support and upgrade current AI / ML solutions used in Production
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 16 million customers and 19 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 25+ 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 AI and Machine Learning. At the moment, there are more than 10 Production systems in the areas of Emails, Payments, Customer Service, and Analytics. Some of them have proven quality at the level of global 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.
