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Data Scientist (Generative AI)
SoftServeRomaniaÎn urmă cu 13 zile
Descrierea postuluiWork with the full stack of data analysis, deep learning, and machine learning model pipeline that includes deep analysis of customer data, modeling, and deployment in production Choose relevant computational tools for study, experiment, or trial 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 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 Grow your skill set within a dynamic and supportive environment Work with Big Data solutions and advanced data tools in cloud platforms Build and operationalize ML models, including data manipulation, experiment design, developing analysis plans, and generating insights Lead teams of data scientists and software engineers to successful project execution Maintain a synergy of Data Scientists, DevOps team, and ML Engineers to build infrastructure, set up processes, productize machine learning pipelines, and integrate them into existing business environments Drive innovation in the realm of Generative AI and Language Models, contributing to groundbreaking projects that redefine AI-powered content generation Communicate with the world-leading companies from our logos portfolio Enjoy the opportunity to work with the latest modern tools and technologies on various projects Participate in international events and get certifications in cutting-edge technologies Have access to powerful educational and mentorship programs Revolutionize the software industry and drive innovation in adaptive self-learning technologies by leveraging multidisciplinary expertise
WE ARE
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 tons of 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 in different areas, domains, and technologies. The GenAI Strategy at SoftServe aims to spearhead the development and implementation of intelligent software systems that integrate GenAI, AI, Data Analytics, MLOps, and Cloud infrastructure.
IF YOU ARE
- A holder of a 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 LLMs (GPT-4, Claude, Gemini, and beyond)
- Knowledgeable of the latest developments in diffusion models and other generative frameworks for both text and image generation
- Competent in Generative AI and language models to spearhead innovative initiatives that leverage cutting-edge techniques in NLP and AI
- Adept at applying advanced deep learning techniques in practical scenarios
- Well-versed in the latest advancements and trends in machine learning, deep learning, NLP, and their practical applications
- Proficient in working with the latest pre-trained language models like GPT-4, BERT, and their subsequent iterations, including fine-tuning for specific tasks
- Aware of the software development lifecycle of AI projects, machine learning operationalization processes
- Experienced with AI solutions deployment to the main cloud providers
- Hands-on with Python and TensorFlow or PyTorch
- Possessing strong interpersonal, analytical, and problem-solving skills
- Easily translating complex concepts in clear, concise, and meaningful ways, that a non-technical audience can easily understand
- Capable of maintaining business communication in English at the upper-intermediate level
AND YOU WANT TO
TOGETHER WE WILL
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