Python jobs in Brazil
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Lead Ai Engineer
Job summary
A leading technology firm is seeking a Lead AI Engineer to design and develop scalable AI solutions. The role entails building ML pipelines, implementing intelligent automation, and supporting data-driven decision-making. Ideal candidates should have hands-on experience with Generative AI, proficiency in GCP, and advanced Python skills. Join a collaborative team to enhance enterprise-level personalization initiatives in a remote work setup.
Qualifications
- Hands-on experience with Generative AI and AI / ML solutions.
- Strong proficiency in GCP and its AI / ML ecosystem.
- Advanced skills in Python for AI / ML development.
Responsibilities
- Design and develop scalable machine learning and AI solutions.
- Build end-to-end ML pipelines and implement intelligent automation.
- Support enterprise-level personalization initiatives.
Skills
Role : Lead AI Engineer Location : Remote
Type : Contract
The Lead AI Engineer will be responsible for designing, developing, and deploying scalable machine learning and AI solutions. This includes building end-to-end ML pipelines, implementing intelligent automation, enabling data-driven decision-making, and supporting enterprise-level personalization initiatives. The role involves working closely with cross‑functional teams to architect robust AI / ML infrastructure and ensure high-quality model performance in production environments.
Hands‑on experience with Generative AI, AI / ML, Data Science, and RAG‑based solutions
Strong proficiency with GCP and its AI / ML ecosystem, including Vertex AI, Google Gemini, and Vector Search
Experience with agent frameworks such as Google ADK, LangChain, LangGraph, and CrewAI
Advanced skills in Python for AI / ML development
* 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.