Must have

• Python

• Classical ML

• ML

• NLP

• GenAI

• Cloud

• MLOps

• TensorFlow

• PyTorch

• English

Requirements description

IF YOU ARE

• Experienced in Generative AI and natural language processing (NLP) techniques, with expertise in large-scale transformer models and generative pre-trained LLMs (GPT-4, Claude, Gemini, etc.)
• Knowledgeable of diffusion models and cutting-edge frameworks for both text and image generation
• Capable of leading AI initiatives by applying advanced deep learning and NLP techniques
• Qualified with a Ph.D. or master’s degree in Computer Science or a related field
• Well-versed in the latest machine learning, deep learning, and NLP advancements, with hands-on expertise in models like GPT-4 and BERT, including fine-tuning
• Proficient in the AI project lifecycle, from development to operationalization and cloud deployment
• Skilled in Python and deep learning frameworks such as TensorFlow or PyTorch
• Possessing strong interpersonal, analytical, and problem-solving skills
• Excellent at translating complex concepts for non-technical audiences
• Fluent in business communication in English at an upper-intermediate level

Python, classical ML, NLP, LLM, GenAI, MLOps, cloud, TensorFlow or PyTorch

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, 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 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 pipelines, including deep customer data analysis, modeling, and deployment in production
2. Choose relevant computational tools for study, experiment, or 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. Conduct and participate in AI workshops, discoveries, and initial engagements with clients
6. Design project scope, and roadmap, estimate analytical and deployment efforts

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