Data Scientist (Generative AI)

  • Компания: SoftServe
  • Город , ,
  • Зарплата:
  • Размещено: 2025-10-25 07:07:52

Описание

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

Educated with a master's or bachelor's degree in computer science or a related fieldExperienced in generative AI and NLP techniques, including large-scale transformer models and generative pre-trained LLMs such as GPT-4, Claude, and GeminiKnowledgeable in diffusion models and other generative frameworks for both text and image generationCompetent in applying generative AI and language models to lead innovative NLP and AI-driven initiativesProficient with state-of-the-art pre-trained language models like GPT-4, BERT, and their advanced versions, including fine-tuning for specialized use casesAware of the software development lifecycle and operationalization of machine learning in AI projectsExperienced in deploying AI solutions across major cloud providersHands-on with Python and AI development frameworksAnalytical with strong interpersonal and problem-solving skillsGreat at translating complex technical concepts for non-technical audiencesCapable 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 solutionsDrive the development of innovative solutions for language generation, text synthesis, and creative content generation using cutting-edge techniquesWork with the full stack of data analysis, deep learning, and machine learning pipelines, including customer data analysis, modeling, and production deploymentSelect appropriate computational tools for research objectives and experimentsPresent results to stakeholders and gather business requirementsBuild expertise in state-of-the-art Generative AI techniques and methodologiesGrow your skills within a dynamic and supportive environmentBuild and operationalize ML models, including data manipulation, experiment design, analysis planning, and insight generation

Together we will

Be part of a team that's shaping the future of AI and data science through innovation and shared growthAdvance 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 partnersMaintain 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

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