About the Job:
SoftServe is a digital authority that advises and provides services at the cutting edge of technology. We empower enterprises and software companies to (re)identify their differentiation, accelerate solution development, and vigorously compete in today’s digital economy. Transforming the way thousands of global organizations do business by developing the most innovative technologies and processes in Big Data, the Internet of Things (IoT), Data Science, and Experience Design, we are one of the largest teams in Eastern Europe that stood at the origins of data science, providing extensive experience and working with the best talents in the field.
In the Data Science Center of Excellence, we contribute to a wide range of projects across different areas, domains, and technologies. The GenAI Strategy at SoftServe aims to spearhead the development and implementation of intelligent software systems that integrate Generative AI, AI, Data Analytics, MLOps, and Cloud infrastructure.
Key Responsibilities:
- Work with the full stack of data analysis, deep learning, and machine learning model pipeline, including deep analysis of customer data, modeling, and deployment in production.
- Choose relevant computational tools for study and research objectives.
- Drive the development of innovative solutions for language generation, text synthesis, and creative content generation using state-of-the-art techniques.
- Develop and implement advanced Generative AI solutions such as intelligent assistants and Retrieval-Augmented Generation (RAG) systems.
- Produce clear, concise, well-organized, and error-free computer programs with the appropriate technological stack.
- Present results directly to stakeholders and gather business requirements.
- Develop expertise in state-of-the-art Generative AI techniques and methodologies.
- Work with Big Data solutions and advanced data tools on cloud platforms.
- Lead teams of data scientists and software engineers to successful project execution.
Qualifications:
- Holder of a Ph.D. or Master's Degree in Computer Science or a related field.
- Experienced in Generative AI and natural language processing (NLP) techniques such as large-scale transformer models and generative pre-trained models (GPT-4, Claude, Gemini, etc.).
- Knowledgeable about the latest developments in diffusion models and other generative frameworks for text and image generation.
- Proficient in working with pre-trained language models like GPT-4, BERT, and their iterations, including fine-tuning for specific tasks.
- Hands-on experience with Python and TensorFlow or PyTorch.
- Strong interpersonal, analytical, and problem-solving skills.
- Capable of maintaining business communication in English at the upper-intermediate level.
Language Requirements: Business communication in English, upper-intermediate level.
Equal Opportunity Employer: All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability, sexual orientation, gender identity/expression, or protected veteran status.
