Lead Data Scientist (Generative AI)

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Lead Data Scientist (Generative AI)

SoftServe

Poland

IF YOU ARE

Experienced in Generative AI and natural language processing (NLP) techniques, with expertise in large-scale transformer models and generative pre-trained LLMs (GPT-4, Claude, Gemini, etc.);
Knowledgeable of diffusion models and cutting-edge frameworks for both text and image generation;
Capable of leading AI initiatives by applying advanced deep learning and NLP techniques;
Qualified with a Ph.D. or master’s degree in Computer Science or a related field;
Well-versed in the latest machine learning, deep learning, and NLP advancements, with hands-on expertise in models like GPT-4 and BERT, including fine-tuning;
Proficient in the AI project lifecycle, from development to operationalization and cloud deployment;
Skilled in Python and deep learning frameworks such as TensorFlow or PyTorch;
Possessing strong interpersonal, analytical, and problem-solving skills;
Excellent at translating complex concepts for non-technical audiences;
Fluent in business communication in English at an upper-intermediate level.

AND YOU WANT TO

Work with the full stack of data analysis, deep learning, and machine learning model pipelines, including deep customer data analysis, modeling, and deployment in production;
Choose relevant computational tools for study, experiment, or research objectives;
Drive the development of innovative solutions for language generation, text synthesis, and creative content generation using the latest state-of-the-art techniques;
Develop and implement advanced Generative AI solutions such as intelligent assistants, Retrieval-Augmented Generation (RAG) systems, and other innovative applications;
Conduct and participate in AI workshops, discoveries, and initial engagements with clients;
Design project scope, and roadmap, estimate analytical and deployment efforts;
Lead a team of researchers to show the power of AI to clients effectively;
Transform business challenges to AI application;
Work with clients by leading and participating in AI workshops, discoveries, and initial engagements;
Present results directly to stakeholders and gather business requirements;
Compile and interpret analysis results as well as contribute to the proposals and architecture vision delivered to the customer;
Use cutting-edge technology and tools to develop and implement data-driven solutions;
Produce clear, concise, well-organized, and error-free computer programs using the appropriate technological stack;
Develop expertise in state-of-the-art Generative AI techniques and methodologies;
Work with Big Data solutions and advanced data tools in cloud platforms;
Build and operationalize ML models, including data manipulation, experiment design, analysis plan development, and insight generation.