Senior Data Scientist (NLP).

Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

About the Product:

Melingo AI, a proud subsidiary of Britannica, is at the forefront of delivering cutting-edge AI solutions powered by advanced natural language processing (NLP).

Our mission is to develop next-generation conversational AI technologies that redefine interactions across strategic domains in EdTech and B2B markets. As pioneers in NLP, we transform how people engage in education, language learning, customer service, and e-commerce. With dedicated product teams and a meticulous development process, we create innovative AI solutions that drive measurable business impact and elevate user experiences.

About the Role:

As a Senior Data Scientist, you will spearhead innovation in AI by leading the development of advanced NLP solutions across multiple product lines. This role combines hands-on development with technical leadership, offering the opportunity to work with cutting-edge technologies and shape the future of our AI-driven products.

Key Responsibilities:

1. Design and implement advanced AI and NLP solutions;
2. Drive technical implementation across projects;
3. Guide architectural decisions;
4. Collaborate with product and development teams.

Required Competence and Skills:

• At least 7 years of experience in Data Science/Machine Learning;
• Deep expertise in building production AI-driven multi-agent systems;
• Strong knowledge of the LLM landscape;
• Experience in prompt engineering and conversational AI development;
• Hands-on experience with multi-language models;
• Experience in RAG systems implementation and alternatives;
• Experience with knowledge graphs and speech technologies (STT/TTS);
• Advanced Python skills, including experience with PyTorch and TensorFlow, production-grade code development, and testing and optimization.

Nice to have:

• Degree (MS/PhD) in Computer Science, Data Science, or related field preferred;
• Experience with MLOps and production deployment;
• Experience with distributed AI system architecture;
• Expertise in LLMOps, including connecting AI with production-grade services.

Why Us?

We utilize a remote working model, providing a powerful workstation and co-working space of your choice in case you need it;

We offer a highly competitive package;

We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in);

We prioritize the professional growth and well-being of our team members. Hence, we organize various social events throughout the year to foster connections and promote wellness.