Middle Data Scientist (Generative AI)

• Master's degree in Computer Science or a related field
• At least 3 years of experience in data science or machine learning, with hands-on exposure to building and experimenting with ML models
• Solid Python proficiency with experience in PyTorch or TensorFlow for model development and experimentation
• Foundational knowledge of Generative AI and NLP techniques, including transformer models and LLMs such as GPT or Claude
• Familiarity with agentic AI concepts and frameworks, such as LangGraph or CrewAI, for building multi-agent applications
• Exposure to cloud-based AI/ML services on AWS, Azure, or GCP, and understanding of the ML development lifecycle
• Familiarity with Big Data tools and data processing in cloud environments
• Strong analytical and communication skills
• Upper-intermediate or higher proficiency in English, both spoken and written

ABOUT THE ROLE

In this role, you will develop and apply Generative AI and machine learning solutions — from NLP pipelines and RAG applications to agentic workflows — as part of SoftServe's AI and Data Science Center of Excellence, a team of 170+ experts, including Data Scientists, ML Engineers, and Architects. Working alongside experienced researchers and engineers, you'll contribute to data-driven projects that deliver measurable impact for clients.

SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.

,[Implement and contribute to Generative AI and agentic solutions — including RAG pipelines, intelligent assistants, and NLP applications — working alongside senior team members, Build and maintain ML pipelines covering data analysis, experiment design, model training, and deployment, supporting reliability and reproducibility in production, Collaborate with Data Scientists, Engineers, and stakeholders to understand requirements and contribute to production-ready ML solutions across diverse client projects, Contribute to agentic workflows using frameworks such as LangGraph or CrewAI, supporting the development of multi-agent systems and autonomous AI applications, Apply deep learning techniques in Python with PyTorch or TensorFlow to experiment, prototype, and iterate on solutions across NLP and generative AI domains, Work with Big Data tools and cloud platforms to support data-driven experimentation, feature engineering, and analysis tasks, Document and communicate experimental findings, translating data-driven insights into clear, actionable conclusions for both technical and non-technical audiences] Requirements: Degree, Machine learning, Python, PyTorch, TensorFlow, AI, NLP, AWS, Azure, GCP, Big Data, Cloud, Communication skills Additionally: Sport subscription, Training budget, Private healthcare, International projects, Flat structure, Small teams, Free coffee, Canteen, Bike parking, Free snacks, Free parking, In-house trainings, Modern office, No dress code.