Вакансия Middle Data Scientist (Generative AI)

Skills

• Generative AI
• NLP
• LLM
• GPT-4
• Claude
• Gemini
• BERT
• Python

Описание вакансии

The AI and Data Science Center of Excellence (CoE) is SoftServe’s premier AI/ML hub, primarily based in Europe. With 130+ experts – including data scientists, research analysts, MLOps engineers, ML and LLM architects, we cover the full AI lifecycle, from problem framing to deployment.
In 2024, we delivered 150+ AI projects, including over 100 focused on Generative AI, combining scale with measurable impact. We are a 2024 NVIDIA Service Delivery Partner and maintain strong collaborations with Google Cloud, Amazon, and Microsoft, ensuring our teams always work with cutting-edge tools and technologies. We also lead Gen AI Lab – our internal innovation engine focused on applied research and cross-functional collaboration in Generative AI. In 2025, a key area of innovation is Agentic AI where we design and deploy autonomous, collaborative agent systems capable of addressing complex, real-world challenges at scale for our clients and internally.

If you are

• Educated with a master's or bachelor's degree in computer science or a related field
• Experienced in generative AI and NLP techniques, including large-scale transformer models and generative pre-trained LLMs such as GPT-4, Claude, and Gemini
• Knowledgeable in diffusion models and other generative frameworks for both text and image generation
• Competent in applying generative AI and language models to lead innovative NLP and AI-driven initiatives
• Proficient with state-of-the-art pre-trained language models like GPT-4, BERT, and their advanced versions, including fine-tuning for specialized use cases
• Aware of the software development lifecycle and operationalization of machine learning in AI projects
• Experienced in deploying AI solutions across major cloud providers
• Hands-on with Python and AI development frameworks
• Analytical with strong interpersonal and problem-solving skills
• Clear in translating complex technical concepts for non-technical audiences
• Capable of maintaining business-level communication in English at an upper-intermediate level

And you want to

• Develop and implement advanced Generative AI applications, including intelligent assistants, Retrieval-Augmented Generation (RAG) systems, and other innovative solutions
• Drive the development of innovative solutions for language generation, text synthesis, and creative content generation using cutting-edge techniques
• Work with the full stack of data analysis, deep learning, and machine learning pipelines, including customer data analysis, modeling, and production deployment
• Select appropriate computational tools for research objectives and experiments
• Present results to stakeholders and gather business requirements
• Build expertise in state-of-the-art Generative AI techniques and methodologies
• Grow your skills within a dynamic and supportive environment
• Build and operationalize ML models, including data manipulation, experiment design, analysis planning, and insight generation