SoftServe

WE ARE

SoftServe is a global digital solutions company, headquartered in Austin, Texas, and founded in 1993.

With 2,000+ active projects across the USA, Europe, APAC, and LATAM, we deliver meaningful outcomes through bold thinking and deep expertise. Our people create impactful solutions, drive innovation, and genuinely enjoy what they do.

The AI and Data Science Center of Excellence (CoE) is SoftServe’s premier AI/ML hub, primarily based in Europe. With 130+ experts—including data scientists, research analysts, MLOps engineers, ML and LLM architects—we cover the full AI lifecycle, from problem framing to deployment.

In 2024, we delivered 150+ AI projects, including over 100 focused on Generative AI, combining scale with measurable impact.

We are a 2024 NVIDIA Service Delivery Partner and maintain strong collaborations with Google Cloud, Amazon, and Microsoft, ensuring our teams always work with cutting-edge tools and technologies.

We also lead Gen AI Lab—our internal innovation engine focused on applied research and cross-functional collaboration in Generative AI.

In 2025, a key area of innovation is Agentic AI — where we design and deploy autonomous, collaborative agent systems capable of addressing complex, real-world challenges at scale for our clients and internally.

IF YOU ARE

• A 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), working with large-scale transformer models and generative pre-trained LLMs like GPT-4, Claude, and Gemini
• Knowledgeable about the latest advancements in diffusion models and other generative frameworks for text and image generation
• Adept at applying advanced deep learning techniques to practical use cases
• Well-versed in emerging trends and breakthroughs in machine learning, deep learning, and NLP, with a strong focus on their real-world applications
• Proficient in working with state-of-the-art pre-trained language models like GPT-4 and BERT, including fine-tuning for specialized tasks
• Aware of the software development lifecycle for AI projects and the operationalization of machine learning models
• Experienced in deploying AI solutions on major cloud platforms
• Hands-on with Python and deep learning frameworks such as TensorFlow or PyTorch
• Skilled in interpersonal communication, analytical reasoning, and complex problem-solving
• Capable of translating technical concepts into clear, concise insights that non-technical audiences can easily grasp
• Proficient 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 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

TOGETHER WE WILL

• Be part of a team that's shaping the future of AI and data science through innovation and shared growth.
• Advance the frontier of Agentic AI by shaping intelligent multi-agent ecosystems that drive autonomy, scalability, and measurable business value.
• Have access to world-class training, cutting-edge research, and collaborate with top industry partners.
• 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
• 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

SoftServe is a global digital solutions company, headquartered in Austin, Texas, and founded in 1993.

With 2,000+ active projects across the USA, Europe, APAC, and LATAM, we deliver meaningful outcomes through bold thinking and deep expertise. Our people create impactful solutions, drive innovation, and genuinely enjoy what they do.

The AI and Data Science Center of Excellence (CoE) is SoftServe’s premier AI/ML hub, primarily based in Europe. With 130+ experts—including data scientists, research analysts, MLOps engineers, ML and LLM architects — we cover the full AI lifecycle, from problem framing to deployment.

In 2024, we delivered 150+ AI projects, including over 100 focused on Generative AI, combining scale with measurable impact.

We are a 2024 NVIDIA Service Delivery Partner and maintain strong collaborations with Google Cloud, Amazon, and Microsoft, ensuring our teams always work with cutting-edge tools and technologies.

We also lead Gen AI Lab — our internal innovation engine focused on applied research and cross-functional collaboration in Generative AI.

In 2025, a key area of innovation is Agentic AI — where we design and deploy autonomous, collaborative agent systems capable of addressing complex, real-world challenges at scale for our clients and internally.

IF YOU ARE

• A 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), working with large-scale transformer models and generative pre-trained LLMs like GPT-4, Claude, and Gemini
• Knowledgeable about the latest advancements in diffusion models and other generative frameworks for text and image generation
• Adept at applying advanced deep learning techniques to practical use cases
• Well-versed in emerging trends and breakthroughs in machine learning, deep learning, and NLP, with a strong focus on their real-world applications
• Proficient in working with state-of-the-art pre-trained language models like GPT-4 and BERT, including fine-tuning for specialized tasks
• Aware of the software development lifecycle for AI projects and the operationalization of machine learning models
• Experienced in deploying AI solutions on major cloud platforms
• Hands-on with Python and deep learning frameworks such as TensorFlow or PyTorch
• Skilled in interpersonal communication, analytical reasoning, and complex problem-solving
• Capable of translating technical concepts into clear, concise insights that non-technical audiences can easily grasp
• Proficient 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 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

TOGETHER WE WILL

• Be part of a team that's shaping the future of AI and data science through innovation and shared growth.
• Advance the frontier of Agentic AI by shaping intelligent multi-agent ecosystems that drive autonomy, scalability, and measurable business value.
• Have access to world-class training, cutting-edge research, and collaborate with top industry partners.
• 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
• 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

SoftServe — це провідна ІТ-компанія, що займається консалтингом та надає послуги у сфері цифрових технологій. Ми забезпечуємо інноваційність, якість і швидкість, яких очікують наші клієнти та їх користувачі.

Data Science Center of  Excellence є  однією з найбільших команд Data Science у  Східній Європі, яка стояла біля її  витоків. У нашій команді ти матимеш можливість брати участь у  широких спектрах проєктів у різних сферах, доменах і  технологіях, разом з досвідченими спеціалістами.

Ми є партнером NVIDIA з надання послуг у 2024 році та підтримуємо тісну співпрацю з Google Cloud, Amazon і Microsoft, що дозволяє нашим командам працювати з найсучаснішими інструментами та технологіями.

У 2025 році ключовим напрямом інновацій є Agentic AI розробка та впровадження автономних, колаборативних агентних систем, здатних вирішувати складні реальні завдання в масштабі як для клієнтів, так і для внутрішніх потреб.

ЯКЩО ТИ:

• маєш досвід роботи з Generative AI та NLP, зокрема з масштабними трансформерними моделями та генеративними попередньо навченими LLM, такими як GPT-4, Claude, Gemini;
• добре орієнтуєшся в останніх досягненнях у сфері дифузійних моделей та інших генеративних фреймворків для створення тексту та зображень;
• вмієш застосовувати передові методи глибокого навчання до реальних задач;
• слідкуєш за трендами в ML, DL та NLP і розумієш, як адаптувати їх до бізнесу;
• добре розбираєшся в роботі з передовими мовними моделями, як-от GPT-4 і BERT включно з їхнім fine-tuning;
• розумієш життєвий цикл розробки АІ-проєктів та процес впровадження machine learning models;
• маєш досвід деплойменту AI-рішень у хмарних середовищах;
• впевнено володієш Python та Deep Learning фреймворками, такими як TensorFlow або PyTorch;
• вмієш ефективно комунікувати, аналітично мислити та вирішувати складні задачі;
• можеш пояснювати технічні концепції просто та зрозуміло для нетехнічної аудиторії;
• володієш англійською мовою на рівні upper-intermediate.

І ТИ ХОЧЕШ:

• працювати з повним стеком аналізу даних, моделюванням та деплойментом ML-рішень;
• обирати інструменти для досліджень, експериментів та тестування гіпотез; створювати інноваційні рішення для генерації тексту та контенту;
• розробляти та впроваджувати Generative AI-рішення: інтелектуальні асистенти, RAG-системи та інші застосунки;
• писати чистий, структурований та безпомилковий код з актуальним стеком технологій;
• презентувати результати напряму стейкхолдерам та збирати бізнес-вимоги; поглиблювати експертизу в Generative AI;
• розвиватися в динамічному середовищі з підтримкою;
• працювати з Big Data та сучасними інструментами в хмарі;
• будувати та запускати ML-моделі: від обробки даних до генерації інсайтів;
• керувати командами data scientists та software engineers для успішного виконання проєктів.

РАЗОМ МИ БУДЕМО:

• створювати майбутнє AI та data science через інновації та спільний розвиток;
• рухати вперед Agentic AI — екосистеми з автономними агентами, які масштабуються та приносять бізнес-результати;
• отримувати доступ до світового рівня навчання, досліджень та співпраці з топ-партнерами;
• об’єднувати Data Scientists, DevOps та ML Engineers для побудови інфраструктури, процесів та інтеграції ML у бізнес;
• працювати з найновішими інструментами та технологіями на різних проєктах;
• брати участь у міжнародних подіях та отримувати сертифікації з cutting-edge технологій;
• мати доступ до потужних освітніх та менторських програм.