Lead Data Scientist
# Lead Data Scientist **Softserve** · Remote · `Remote` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Get on Board (LATAM)* --- ### About the Role - Master’s or Ph.D. degree in Computer Science or a related field - 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 and managing the full ML lifecycle at production scale - Demonstrated experience leading or mentoring Data Science or ML teams, with the skills 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 - Upper-intermediate or higher proficiency in English, both spoken and written - 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
Наблюдалась 2026-10-16, впервые 2026-10-15, источник — Get on Board (LATAM).