Data Engineer (Python, AI, NLP, LLMs, Graph Databases)

Location: Florianópolis, Brazil (On-site)

About the Role:We are seeking a Data Engineer with expertise in AI, NLP, LLMs, and Graph Databases to help us build and optimize our data-driven solutions. You will work on designing and implementing data pipelines, developing AI models, and structuring graph databases to support our growing business needs.

Key Responsibilities:

• English Level B2 - Upper-intermediate
• Design, build, and maintain data pipelines and ETL processes.
• Develop and deploy AI and NLP models using Python and machine learning frameworks.
• Work with Large Language Models (LLMs) to process and analyze unstructured data.
• Implement and optimize graph databases for complex data relationships.
• Ensure data integrity, scalability, and efficiency.
• Collaborate with backend engineers and data scientists to integrate models into production.
• Stay up to date with advancements in AI, NLP, and database technologies.

Requirements:

• Strong experience in Python and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
• Expertise in Natural Language Processing (NLP) techniques and tools.
• Hands-on experience with Large Language Models (LLMs) such as GPT, BERT, etc.
• Proficiency in Graph Databases (Neo4j, ArangoDB, etc.).
• Experience with cloud-based data solutions (AWS, GCP, Azure).
• Strong analytical and problem-solving skills.
• Preferred Qualifications:
• Experience with distributed computing frameworks (Spark, Dask, etc.).
• Familiarity with MLOps best practices.
• Previous experience working in a startup or fast-paced environment.
• Employment by a U.S. company with compensation in dollars.