Engenheiro De Dados jobs in Brazil
Data Scientist With Vertex Ai
Georgiatek Systems Inc.
Data Scientist With Vertex Ai
Georgiatek Systems Inc.
Data Scientist With Vertex Ai
Georgiatek Systems Inc.
Data Scientist With Vertex Ai
Georgiatek Systems Inc.
Data Scientist With Vertex Ai
Georgiatek Systems Inc.
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Data Scientist With Vertex Ai
Georgiatek Systems Inc.
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Bright Cities
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Georgiatek Systems Inc.
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Data Scientist With Vertex Ai
Georgiatek Systems Inc.
Data Scientist With Vertex Ai
Georgiatek Systems Inc.
Data Scientist With Vertex Ai
Georgiatek Systems Inc.
Data Scientist With Vertex Ai
Georgiatek Systems Inc.
Data Scientist With Vertex Ai
Georgiatek Systems Inc.
Data Scientist With Vertex Ai
Georgiatek Systems Inc.
Data Scientist With Vertex Ai
Georgiatek Systems Inc.
Data Scientist With Vertex Ai
Georgiatek Systems Inc.
Data Scientist With Vertex Ai
Georgiatek Systems Inc.
Data Scientist With Vertex Ai
Georgiatek Systems Inc.
Analista de Dados – Grupo Rigarr – Rio de Janeiro
Grupo Rigarr
Data Scientist With Vertex Ai
Georgiatek Systems Inc.
Data Scientist With Vertex Ai
Job summary
A technology solutions company is looking for a Data Scientist with expertise in Generative AI to design and implement advanced applications. Candidates should have 6-8 years of experience in AI/ML and Data Science, with strong proficiency in Python and cloud AI services. Responsibilities include developing production-grade solutions, collaborating across teams, and optimizing application performance in cloud environments. This remote role requires excellent teamwork and communication skills.
Qualifications
- 6–8 years of experience in AI / ML and Data Science, including 2+ years in Generative AI projects.
- Expertise in cloud AI services, preferably GCP Vertex AI and familiarity with related technologies.
Responsibilities
- Design and implement Generative AI applications using advanced methodologies.
- Collaborate with cross-functional teams to ensure API integration and test automation.
- Optimize applications for scalability and performance in cloud environments.
Skills
Education
Title : Data Scientist with Vertex AI | Location: Brazil- Remote
Type : Contract
We are seeking an experienced professional with 6–8 years of hands‑on expertise in Generative AI, AI / ML, and Data Science technologies. The ideal candidate will have a strong background in building production‑grade solutions, implementing end‑to‑end Generative AI projects, and working across cloud ecosystems.
- Design and implement Generative AI applications using advanced methodologies such as RAG, prompt engineering, embeddings, and fine‑tuning.
- Develop production‑grade AI / ML solutions leveraging cloud platforms like GCP Vertex AI, Azure AI, and AWS Bedrock.
- Work with structured and unstructured data to build RAG‑based solutions.
- Integrate agent frameworks (e.g., Google ADK, LangGraph, CrewAI) into AI workflows.
- Collaborate with cross‑functional teams to ensure API integration, test automation, and adherence to software engineering best practices.
- Optimize applications for scalability and performance in cloud environments.
- 6–8 years of experience in AI / ML and Data Science, including 2+ years in Generative AI projects.
- Strong proficiency in Python and frameworks such as Flask and FastAPI.
- Hands‑on experience with deep learning, TensorFlow, and NLP techniques.
- Expertise in cloud AI services, preferably GCP Vertex AI, and familiarity with Vertex AI Vector Search, Gemini, Cloud Run, and Cloud SQL.
- Experience with agent‑based frameworks like LangChain and LangGraph.
- Solid understanding of API integration, test automation, and software engineering principles.
- Excellent teamwork and communication skills.
Bachelor's degree in Computer Science or related field.
Proven ability to deliver end‑to‑end Generative AI solutions in production environments
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.