Consultant Specialist

• Expertise in natural language processing (NLP) and natural language understanding (NLU), with strong capabilities in machine learning for transformative solutions. A solid foundation in data modeling is essential, as it underpins the development and optimization of advanced algorithms.
• Proficiency in at least two programming languages (e.g., Java, Python, Node.js, R ) along with a solid understanding of design patterns and both relational and NoSQL databases.
• Knowledge of microservices architecture and containerization technologies.
• Familiarity with one of major cloud platforms such as AWS, GCP or Azure.
• Experience with open-source frameworks like Spring, React, and Vue.js.
• Ability to rapidly set up Proof of Concept (PoC) environments using cloud and container technologies to test research ideas.
• Experience in collaborative, interdisciplinary teams and adaptability to evolving project objectives.
• Proven ability to deliver innovative solutions through academic projects or research publications.
• Experience in training and fine-tuning large language models, or developing applications related to AI Agents, is a plus.
  

• Join our IT team, renowned for efficiency, rapid progress, and fintech expertise.
• Collaborate with engineers, architects, and business stakeholders to guide the direction of products and services.
• Support DevOps teams throughout the software development lifecycle with a strong focus on enhancing customer experience and improving end-to-end journeys.
• Design and implement intelligent automation solutions to streamline operations and enhance process efficiency.
• Leverage Generative AI and other cutting-edge technologies to transform software development, internal operations, and customer-facing services.
• Partner with top-tier universities, bridging academia and industry to develop state-of-the-art solutions for challenging problems.
• Engage in pioneering projects that redefine the banking industry, encouraging novel solutions to longstanding challenges.
  

Requirements

• PhD in Computer Engineering, Computer Science, Mathematics, Physics, Electronics Engineering, or a related field (or nearing completion).
• A strong interest in and understanding of the finance industry.
• Excellent analytical and problem-solving skills, with the ability to quickly learn new technologies.
• Strong communication skills and a collaborative mindset, capable of working effectively in diverse team environments.
• Academic research experience or publications in related fields are highly valued.