Lead Data Scientist

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SeniorZdalnieFull-time

#475075·Dodano dziś·0

Źródło: nofluffjobs.com

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Tech Stack / Keywords

PythonAINLPCloudData scienceGenAI

Podsumowanie oferty

Define technical direction and lead delivery of Generative AI and agentic solutions, from multi-agent systems to large-scale NLP pipelines, within SoftServe’s AI and Data Science Center of Excellence. The role includes shaping AI strategy for clients and taking solutions from prototype to production impact.

Wymagania

Advanced proficiency in Python and hands-on experience with 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, and knowledge of multi-agent system design and autonomous decision-making patterns.
Proven experience deploying AI/ML solutions to major cloud providers (Azure, AWS, GCP) and managing the full ML lifecycle at production scale.
Experience leading or mentoring Data Science or ML teams, driving technical vision, and embedding engineering best practices.
Client-facing skills, including 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, spoken and written.

Obowiązki

Define and drive technical vision for AI initiatives using generative AI and agentic frameworks, aligning them with business goals and advancing innovation across cross-functional teams.
Design and implement multi-agent systems using LangGraph, CrewAI, or similar frameworks.
Build client relationships, identify opportunities, shape AI strategies, and translate technical concepts into production-ready solutions.
Build and deploy production-ready AI/ML solutions on Azure, AWS, and GCP, collaborating with MLOps and DevOps teams to reduce operational risks and ensure reliability.
Establish and optimize end-to-end AI development processes, from data pipelines and model training to LLMOps, monitoring, and continuous improvement.
Mentor Data Scientists and ML Engineers and promote best practices in Generative AI, MLOps, and engineering.
Contribute to technical publications, case studies, and industry events and conferences.

SoftServe

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