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 or master’s degree in Computer Science or a related fieldExperienced in Generative AI and natural language processing (NLP), working with large-scale transformer models and generative pre-trained LLMs like GPT-4, Claude, and GeminiKnowledgeable about the latest advancements in diffusion models and other generative frameworks for text and image generationAdept at applying advanced deep learning techniques to practical use casesWell-versed in emerging trends and breakthroughs in machine learning, deep learning, and NLP, with a strong focus on their real-world applicationsProficient in working with state-of-the-art pre-trained language models like GPT-4 and BERT, including fine-tuning for specialized tasksAware of the software development lifecycle for AI projects and the operationalization of machine learning modelsExperienced in deploying AI solutions on major cloud platformsHands-on with Python and deep learning frameworks such as TensorFlow or PyTorchSkilled in interpersonal communication, analytical reasoning, and complex problem-solvingCapable of translating technical concepts into clear, concise insights that non-technical audiences can easily graspProficient in business communication in English at an upper-intermediate levelAND 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 productionChoose relevant computational tools for study, experiment, or trial research objectivesDrive the development of innovative solutions for language generation, text synthesis, and creative content generation using the latest state-of-the-art techniquesDevelop and implement advanced Generative AI solutions such as intelligent assistants, Retrieval-Augmented Generation (RAG) systems, and other innovative applicationsProduce clear, concise, well-organized, and error-free computer programs with the appropriate technological stackPresent results directly to stakeholders and gather business requirementsDevelop expertise in state-of-the-art Generative AI techniques and methodologiesGrow your skill set within a dynamic and supportive environmentWork with advanced data tools in cloud platformsBuild and operationalize ML models, including data manipulation, experiment design, developing analysis plans, and generating insightsLead teams of data scientists and software engineers to successful project executionTOGETHER 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 environmentsCommunicate with the world-leading companies from our logos portfolioEnjoy the opportunity to work with the latest modern tools and technologies on various projectsParticipate in international events and get certifications in cutting-edge technologiesHave access to powerful educational and mentorship programsRevolutionize the software industry and drive innovation in adaptive self-learning technologies by leveraging multidisciplinary expertise