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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Scientist - **Company:** SoftServe, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, DevOps, Python (Programming Language), Machine Learning, Tensorflow, Google Cloud, Pytorch, Large Language Models, Multi-Agent Systems, Generative AI, Build Management, Information Technology, Machine Learning Operations, GPT, Data Pipelines - **Published:** July 31, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/ktcjo3rhe6 ## About the Role * Advanced Python proficiency with hands-on experience in PyTorch or TensorFlow for model development, training, and large-scale experimentation * Strong knowledge of Generative AI and NLP, including transformer models, LLMs (GPT-4, Claude, Gemini), and fine-tuning methodologies for domain-specific applications * Experience with agentic AI frameworks such as LangGraph or CrewAI, as well as knowledge of multi-agent system design and autonomous decision-making patterns * Proven track record of deploying AI/ML solutions to major cloud providers (Azure, AWS, GCP) and managing the full ML lifecycle at production scale * Demonstrated experience leading or mentoring Data Science or ML teams, with the ability to drive technical vision and embed engineering best practices * Strong client-facing skills, with experience shaping AI strategies and communicating complex concepts to executive and non-technical stakeholders * Master's or Ph.D. degree in Computer Science or a related field * Upper-intermediate or higher proficiency in English, both spoken and written ## Description In this role, you will define technical direction and lead the delivery of advanced Generative AI and agentic solutions, from multi-agent systems to large-scale NLP pipelines, within SoftServe's AI and Data Science Center of Excellence, a team of 170+ experts, including Data Scientists, ML Engineers, and Architects. You'll drive innovation, shape AI strategy for world-leading clients, and ensure solutions scale from prototype to measurable production impact. Responsibilities * Define and drive technical vision for AI initiatives using the latest generative AI and agentic frameworks, ensuring alignment with business goals and accelerating innovation across cross-functional teams * Advance agentic AI capabilities by designing and implementing multi-agent systems using LangGraph, CrewAI, or similar frameworks to enable autonomy and real-world problem-solving at scale * Foster strong client relationships by identifying opportunities, shaping AI strategies, and translating complex technical concepts into impactful, production-ready solutions * Build and deploy production-ready AI/ML solutions on major cloud platforms, reducing operational risks and ensuring reliability through close collaboration with MLOps and DevOps teams * Establish and optimize end-to-end AI development processes - from data pipelines and model training to LLMOps, monitoring, and continuous improvement * Mentor and guide Data Scientists and ML Engineers, embedding best practices in Generative AI, MLOps, and engineering excellence * Contribute to thought leadership through technical publications, case studies, and participation in industry events and conferences ## Related Videos - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)