About the Role We are seeking a seasoned data scientist to join our research-oriented team. As a key member, you will apply scalable machine learning solutions to real-world challenges in a collaborative environment. - Design and develop robust data processing pipelines for training and evaluating ML models. - Build and deploy NLP models for tasks such as named entity recognition, document classification, information extraction, and retrieval. - Closely collaborate with research scientists on experiments and evaluations. - Contribute to end-to-end ML solution delivery using modern development practices. - Work in an Agile team embracing innovation and continuous improvement. Required Skills and Experience - Minimum 5 years of professional software engineering experience in Python. - At least 2 years of experience in a data scientist role. - Minimum 2 years working on machine learning products or solutions, including at least 1 year focused on natural language processing tasks. - Proven ability to write clean, maintainable, and well-tested Python code. - Experience in cloud-based development environments. - Solid understanding of CI/CD practices, DevOps, and the software development lifecycle. - Ability to work collaboratively with cross-functional and remote teams. - Demonstrated interest in applying cutting-edge AI/ML research to practical use cases. - Experience working in Agile environments. - Familiarity with ModelOps/MLOps principles. - Experience integrating ML models into production-grade systems. - Proficiency in additional languages or stacks is a plus. - English level: B2/C1 – Ability to communicate effectively in technical discussions with international teams. Benefits This role offers the opportunity to work on high-impact machine learning projects, collaborate with experienced professionals, and contribute to the development of innovative solutions. Others We're a dynamic team unlocking community knowledge through AI-driven insights. If you're passionate about machine learning and collaboration, we'd love to hear from you.