Master's or bachelor's degree in computer science or a related field., Experience in generative AI and NLP techniques, including large-scale transformer models., Proficient in Python and AI development frameworks, with knowledge of the software development lifecycle., Strong analytical, interpersonal, and problem-solving skills, with upper-intermediate English communication..
Key responsibilities:
Develop and implement advanced Generative AI applications and innovative solutions.
Drive the development of language generation and text synthesis techniques.
Work with data analysis, deep learning, and machine learning pipelines for deployment.
Present results to stakeholders and gather business requirements.
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Dla naszego klienta SoftServe poszukujemy osoby na stanowisko Middle Data Scientist.
WE ARE
SoftServe is a leading provider of digital business solutions, digital advisory, and digital engineering services, with a team of professionals across 14 countries. Headquartered in the US, SoftServe serves clients primarily in North America and Europe, helping them navigate complex challenges and transform through technology and domain insights.
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
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
TOGETHER WE WILL
Revolutionize the software industry and drive innovation in adaptive self-learning technologies by leveraging multidisciplinary expertise!
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
Required profile
Experience
Spoken language(s):
English
Check out the description to know which languages are mandatory.