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Position : Lead Data Scientist Location : Brazil (Remote) Duration: 12+ months Rate : DOE Key Responsibilities 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 . Required Skills & Experience 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. Qualifications Bachelor’s degree in Computer Science or related field. Proven ability to deliver end-to-end Generative AI solutions in production environments.
