Generative AI Scientist

• Design, build, and deploy intelligent virtual assistants integrated within micro-service ecosystems.
• Document and present results clearly to technical and business stakeholders.
• Architect and develop Python FastAPI services and REST APIs.
• Ensure quality engineering practices: testing with PyTest, Sonar, and automated monitoring.
• Implement NLP and generative AI capabilities and integrate with external systems.
• Manage data storage and processing across SQL, NoSQL, and cloud data platforms.
• Drive model deployment using MLOps/GenAI Ops., Python Kafka SQL/NoSQL (MongoDB) Cloud platforms (Azure, AWS, GCP, Databricks) Jira Confluence Descripción del empleo

Candidates should have 4-5 years in data science, strong machine learning expertise, and proficiency in Python and MLOps. The position offers a competitive salary, flexible remote work options, and benefits including 23 vacation days and a learning program., * 4-5 years in data science senior roles; experience with IA generative models, LLMs, and RAG.

• Strong background in machine learning: regression, random forest, boosting, random forest, and classic models.
• Proficiency in Python with FastAPI, REST APIs, Kafka, and cloud environments.
• Hands-on MLOps: CI/CD (Jenkins, OpenShift), Docker, model versioning, and monitoring.
• Experience in agile methodologies (Scrum, Kanban) and tools (Jira, Confluence).
• Valued: training or certification in Data Science or Generative AI., Machine learning (regression, random forest, boosting) Python (FastAPI, REST APIs) MLOps (CI/CD, Jenkins, Docker) Data science senior roles (4-5 years) Generative AI capabilities Agile methodologies (Scrum, Kanban)

Educación

Training or certification in Data Science or Generative AI

Competitive salary Flexible remote work Hybrid flexible schedule 23 vacation days Comprehensive medical and dental coverage Continuous learning plan