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Key Responsibilities:
- Design, build, and maintain scalable data and ML pipelines for analytics and AI systems.
- Build and optimize workflows for structured and unstructured data, enabling semantic search and RAG use cases.
- Manage and optimize vector databases and indexing strategies for efficient retrieval and AI-powered search.
Requirements:
- 8+ years of experience in Data Engineering with at least 2+ years in MLOps.
- Strong proficiency in Python for data processing and large-scale pipelines.
- Hands-on experience with big data tools such as Spark, Kafka, and Hadoop.
Benefits:
- Fully remote work within LATAM.
- Opportunity to work on cutting-edge AI, LLM, and data engineering projects.
- Career growth in advanced analytics, MLOps, and AI engineering domains.
Jobgether
This is a partner company seeking a Data & Machine Learning Engineer based in Brazil. They operate in a highly technical and global environment with strong emphasis on scalability, performance, and innovation.