Data Science | SR

📋 Description

• Develop predictive models and machine learning algorithms to solve complex business challenges
• Apply supervised, unsupervised, and deep learning techniques using Python and leading data science
• Design and execute experiments using tools such as Jupyter, Databricks, and MLflow, ensuring robust
• Evaluate the performance of RAG and language-model-based systems using quality, cost, latency, and
• Build text-ingestion pipelines for vector databases, including solutions using AWS OpenSearch, and
• Work with AWS services such as S3, Lambda, Parameter Store, and Secrets Manager, while contributing

🎯 Requirements

• Solid professional experience with Python and strong practical knowledge of data science and
• Hands-on experience developing and deploying machine learning models using libraries such as
• Proven experience with Large Language Models (LLMs), Generative AI, RAG architectures, and
• Practical experience working with Databricks and MLflow for data science, experimentation, and
• Experience with LangChain and LangGraph for building LLM-powered applications and agentic solutions.
• Experience working with AWS Bedrock and familiarity with the broader AWS ecosystem.

🎁 Benefits

• Remote work opportunity for professionals based in Brazil.
• Opportunity to work on advanced Machine Learning, Generative AI, LLM, and RAG initiatives.
• Exposure to modern AI and cloud technologies, including AWS, Azure, Databricks, LangChain
• Work on technically challenging projects with a strong focus on innovation and measurable business
• Opportunity for continuous professional development and exposure to emerging trends in Artificial
• Collaboration within a technology-driven environment that values knowledge sharing and the