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Middle Data Scientist @
2 weeks ago
- A holder of master's or bachelor'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
- 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 main cloud providers
- Hands-on with Python and AI frameworks
- 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
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.
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
SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law. Let's put your talents and experience in motion with SoftServe.
,[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] Requirements: Python, LLMs, NLP, AI Additionally: Sport subscription, Training budget, Private healthcare, International projects, Flat structure, Small teams, Free coffee, Canteen, Bike parking, Free snacks, Free parking, In-house trainings, Modern office, No dress code.