Data Scientist

Our company operates within the IT sector, specializing in providing secure and cutting-edge mobile solutions for regulated industries, including banking, public services, and critical infrastructure. We uphold core values of responsibility, transparency, and continuous technological advancement. We place a strong emphasis on maintaining the highest standards of quality and security while fostering collaborative and respectful relationships with both clients and employees.

Requirements

• Strong background in Deep Learning, NLP, and Generative AI (LLM/LMM).
• Proven experience in the full ML lifecycle, from data processing to model deployment.
• Proficiency in Python (OOP), SQL, and vector databases.
• Hands-on experience with major cloud platforms (Azure or GCP).
• Familiarity with modern AI frameworks and orchestration tools for agentic workflows.
• Experience in building standardized interfaces between models and external systems.
• Ability to design microservices and lead/mentor junior developers.
• (Bonus) Experience with large-scale data platforms and a track record of commercial AI projects.

Responsibilities

• Developing end-to-end GenAI systems, including chatbots, voice assistants, and data-querying tools.
• Building and optimizing RAG pipelines with advanced search and retrieval techniques.
• Selecting, prompting, and fine-tuning models (text, code, multimodal) for production use.
• Integrating AI models with external APIs, tools, and enterprise data sources.
• Translating business requirements into technical specs and success metrics.
• Overseeing project delivery and supporting technical pre-sales efforts.

Our offer

• Competitive salary package (salary range provided during later recruitment stages).
• Remote work flexibility.
• Comprehensive benefits package.
• Opportunities for professional development and advancement.
• Access to the latest technologies and tools.
• Support for continued learning and certification.
• Collaborative and knowledge-sharing work culture.