Must have

• Python

• Cloud

• Classical ML

• GenAI

• English

Requirements description

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 NLP techniques, including large-scale transformer models and generative pre-trained LLMs (e.g., GPT-4, Claude, Gemini, etc.)
• Knowledgeable of recent advancements in diffusion models and other generative frameworks for both text and image generation
• Competent in driving innovative initiatives using Generative AI and advanced NLP techniques
• Adept at applying deep learning techniques in real-world scenarios
• Well-versed in modern machine learning, deep learning, and NLP trends and their practical applications
• Proficient in working with and fine-tuning pre-trained language models like GPT-4, BERT, and their successors
• Familiar with the software development lifecycle of AI projects and machine learning operationalization workflows
• Experienced in deploying AI solutions to major cloud providers
• Hands-on with Python and frameworks such as TensorFlow or PyTorch
• Strong in interpersonal, analytical, and problem-solving capabilities
• Capable of clearly translating complex technical concepts for non-technical audiences
• Skilled in maintaining business communication in English at an upper-intermediate level

Offer description

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.

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, powerful educational and mentorship programs, 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
• Revolutionize the software industry and drive innovation in adaptive self-learning technologies by leveraging multidisciplinary expertise

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.

Your responsibilities

1. 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
2. Choose relevant computational tools for study, experiment, or trial research objectives
3. Drive the development of innovative solutions for language generation, text synthesis, and creative content generation using the latest state-of-the-art techniques
4. Develop and implement advanced Generative AI solutions such as intelligent assistants, Retrieval-Augmented Generation (RAG) systems, and other innovative applications
5. Produce clear, concise, well-organized, and error-free computer programs with the appropriate technological stack
6. Present results directly to stakeholders and gather business requirements

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