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# Senior Data Scientist

- **Company:** SoftServe, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Data Cleansing, DevOps, Python (Programming Language), Machine Learning, Language Modeling, Tensorflow, Software Deployment, Pytorch, Large Language Models, Deep Learning, Generative AI, Information Technology, GPT
- **Published:** August 5, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/kpccy79xw9

## About the Role

* Strong experience with Generative AI and NLP, including large-scale language models such as GPT, Claude, Gemini, or similar
 * Solid knowledge of transformer architectures and diffusion models for text and image generation
 * Hands-on experience with Python and deep learning frameworks such as PyTorch or TensorFlow
 * Practical understanding of machine learning lifecycle, including experimentation, evaluation, and production deployment
 * Experience working with cloud platforms (AWS, GCP, or Azure) for AI solution deployment
 * Academic background with a Master's or Ph.D. in Computer Science or a related field
 * Proven ability to apply advanced deep learning techniques to real-world business problems
 * Clear communication skills for presenting technical concepts to both technical and non-technical audiences
 * Proven ability to communicate professionally in English at an upper-intermediate business level

## Description

In this role, you will design and deliver advanced Generative AI solutions that solve complex business problems using modern AI techniques. You will join SoftServe's AI & Data Science Center of Excellence, working on global projects that combine research, engineering, and real-world deployment while contributing to the evolution of AI-driven products and services., * Design and develop Generative AI and NLP solutions using transformer-based architectures and modern deep learning techniques

 * Own the end-to-end delivery of AI solutions, from data analysis and experimentation to production deployment and optimization
 * Collaborate with data scientists, ML engineers, and DevOps teams to integrate models into scalable cloud-based systems
 * Develop LLM-based applications such as intelligent assistants, Retrieval-Augmented Generation (RAG) systems, and content generation tools
 * Analyze large and complex datasets, selecting appropriate algorithms, frameworks, and tools for each use case
 * Build and operationalize machine learning models, including data preparation, experiment design, evaluation, and monitoring
 * Present technical solutions and insights to stakeholders, translating complex concepts into clear business outcomes
 * Contribute to continuous improvement, knowledge sharing, and innovation within AI and Data Science projects


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