Data & Machine Learning Engineer

Key Responsibilities:

• Design, build, and maintain scalable data pipelines supporting ingestion, transformation, and delivery into data warehouses, feature stores, and ML/AI systems.
• Develop workflows for processing unstructured data and building semantic representations to enable advanced search, retrieval, and LLM-powered applications.
• Implement and manage LLM-related workflows, including prompt engineering, orchestration pipelines, and model fine-tuning processes.

Requirements:

• Minimum of 8 years of experience in Data Engineering, with at least 2 years focused on MLOps or machine learning workflows.
• Strong proficiency in Python for large-scale data processing, transformation, and engineering tasks.
• Deep understanding of SQL and relational database systems, including BI and data warehousing methodologies.

Benefits & Culture:

• Fully remote opportunity with flexibility to work across LATAM regions.
• Opportunity to work on cutting-edge AI, LLM, and machine learning systems at scale.
• Collaborative, international team environment with strong technical expertise.