Senior Data Scientist (Generative AI)
Softserve
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- Ubicación
- Remoto (países elegibles no informados)
- Modalidad
- Remoto
- Jornada
- Jornada completa
- Publicado
- 6 nov
La fuente no informa: contrato, experiencia, sueldo, cierre.
Resumen
- Design and implement advanced Generative AI and agentic solutions — including multi-agent systems, intelligent assistants, and agentic RAG pipelines — delivering measurable impact across diverse client domains
- Build and operationalize end-to-end ML pipelines covering data analysis, experiment design, model fine-tuning, and cloud deployment, ensuring reliability and reproducibility in production
- Drive successful project delivery in close collaboration with Data Scientists and Engineers, gathering requirements from clients and translating complex AI outputs for non-technical stakeholders…
Requisitos y detalle del puesto
- 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 experimentation
- Strong knowledge of Generative AI and NLP, including transformer models, LLMs (GPT-4, Claude, Gemini), and fine-tuning methodologies for domain-specific applications
- Solid understanding of diffusion models and generative frameworks for text and image generation
- Working knowledge of agentic AI frameworks such as LangGraph or CrewAI, and familiarity with multi-agent system design and autonomous decision-making patterns
- Proven experience deploying AI/ML solutions to major cloud providers, with knowledge of the full ML lifecycle and model operationalization
- Familiarity with Big Data solutions and advanced data tools in cloud environments
- Strong interpersonal and analytical skills, with proficiency in communicating complex AI concepts clearly to non-technical stakeholders
- Upper-intermediate or higher proficiency in English, both spoken and written
Dónde postular
- Get on Board ↗ · visto por primera vez el 6 nov
Última verificación en WIAK: 6 nov. Revisa siempre la vigencia en la fuente.