Senior Data Scientist (Generative AI)

Requirements

• Master's or Ph.D. degree in Computer Science or a related field
• 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
• Strong interpersonal and analytical skills, with proficiency in communicating complex AI concepts clearly to non-technical stakeholders
• Upper-intermediate or higher proficiency in English, both spoken and written

Responsibilities

• 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

Some of our benefits

• SoftServe University: Access continuous learning opportunities, certification support, and leadership development programs to grow your skills and advance your career
• Medical insurance: Health coverage for you and your family
• Food vouchers: Additional support for your everyday expenses
• Extra days off: Enjoy additional time off to rest, recharge, and maintain a healthy work-life balance
• Dare to Care: Our holistic well-being program, designed to support your overall wellness
• Anniversary Program: Celebrating your milestones and recognizing your journey with SoftServe

SoftServe is a global digital services and consulting company with 30+ years of experience and 11,000+ professionals across 16 countries, helping businesses worldwide solve complex challenges through technology.

Our Data Science Center of Excellence (CoE) brings together 170+ experts in AI, Machine Learning, and Data Science to develop innovative, scalable solutions. From discovery and PoCs to production deployment, we collaborate across teams to deliver measurable business impact.

In this role, you’ll develop and deploy Generative AI and agentic solutions, including autonomous multi-agent systems, RAG pipelines, and large-scale NLP applications. You’ll work across the full ML lifecycle, leveraging advanced models and agentic frameworks to deliver impactful, production-ready AI solutions.