Data Scientist

Looking for your next challenge in Data Science? We are looking for a talented Data Scientist to join our team and develop and deploy data-driven solutions using both tabular and textual data . The role combines classic Machine Learning with advanced technologies from the Generative AI space, while working closely with a wide range of business and technology stakeholders across the organization. Key Responsibilities Lead end-to-end data science projects , from defining the business problem and solution requirements to establishing KPIs, developing models, and deploying solutions to production. Develop and implement Machine Learning and NLP models , including processing text from diverse sources for tasks such as classification, information extraction, and retrieval . Design and build advanced Generative AI solutions , including intelligent Agents and workflows , MCP servers, context management, and RAG architectures . Own model evaluation and observability , including extracting business insights, conducting in-depth error analysis, and monitoring model performance. Work with Big Data and ML infrastructure , including technologies such as Elasticsearch, Kafka, Spark, Redis, and vLLM . Collaborate closely with Data Engineers, Analysts, and domain experts to create scalable solutions that deliver measurable business value. Requirements 3+ years of experience developing models in Data Science / Machine Learning, with strong hands-on expertise in Classic ML – required. Significant hands-on experience in NLP , including working with open-source models and a strong understanding of Transformers, BERT, LoRA, and SFT – required. 1+ year of proven hands-on experience developing Generative AI agents , including tool calling and prompt optimization techniques – required. 3+ years of professional experience with Python and SQL , with a high level of proficiency – required. Experience taking code to production , including CI/CD, Git , and development/QA/production environments using technologies such as Docker – required. Experience with technologies such as Spark, Elasticsearch, Kafka, Redis, and vLLM – an advantage. Master’s degree in a relevant field – an advantage. Strong self-learning and research skills . Excellent communication and presentation skills , with the ability to present to diverse audiences. Strong critical thinking and analytical problem-solving abilities. Show more Show less