Senior Data Scientist

• Advanced Python proficiency with hands-on experience in PyTorch or TensorFlow for model development, training, and experimentation
• Strong knowledge of Generative AI and NLP, including transformer models, LLMs (GPT-4, Claude, Gemini), and fine-tuning methodologies for domain-specific applications
• Solid understanding of diffusion models and generative frameworks for text and image generation
• Working knowledge of agentic AI frameworks such as LangGraph or CrewAI, and familiarity with multi-agent system design and autonomous decision-making patterns
• Proven experience deploying AI/ML solutions to major cloud providers, with knowledge of the full ML lifecycle and model operationalization
• Familiarity with Big Data solutions and advanced data tools in cloud environments
• Master's or Ph.D. degree in Computer Science or a related field
• Strong interpersonal and analytical skills, with the ability to communicate complex AI concepts clearly to non-technical stakeholders
• Upper-intermediate or higher proficiency in English, both spoken and written

In this role you will develop and deploy advanced Generative AI and agentic solutions — from autonomous multi-agent systems and RAG pipelines to large-scale NLP applications — within SoftServe's AI and Data Science Center of Excellence, a team of 170+ experts including Data Scientists, ML Engineers, and Architects. Working across the full ML lifecycle, you'll bring together cutting-edge generative models and agentic frameworks to deliver autonomous systems that drive measurable client outcomes.

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.

,[Design and implement advanced Generative AI and agentic solutions — including multi-agent systems, intelligent assistants, and agentic RAG pipelines — delivering measurable impact across diverse client domains, Build and operationalize end-to-end ML pipelines covering data analysis, experiment design, model fine-tuning, and cloud deployment, ensuring reliability and reproducibility in production, Drive successful project delivery in close collaboration with Data Scientists and Engineers, gathering requirements from clients and translating complex AI outputs for non-technical stakeholders, Design and orchestrate agentic workflows using LangGraph or CrewAI to automate complex reasoning, data analysis, and autonomous decision-making at scale, Develop multimodal solutions for language generation, text synthesis, and image creation, applying the latest generative AI and diffusion model techniques, Research, prototype, and deliver scalable deep learning solutions across NLP and agentic AI domains, from initial experimentation through to production, Design and execute data-driven experimentation and analysis plans across cloud platforms, generating actionable insights that inform business decisions] Requirements: Python, PyTorch, TensorFlow, AI, NLP, Cloud, Big Data, Degree, Analytical 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.