Job Description

You'll build and run large-scale data, ML, and agentic systems. The focus is geospatial pipelines, operational ML, and modern agent frameworks. You should be comfortable owning the full lifecycle: data ingestion, distributed processing, model development, deployment, and monitoring.

This role is 100% remote and is open to candidates in Colombia and Argentina.

Key Responsibilities:

  • Implement and integrate agent-based systems into operational workflows.
  • Build, deploy, and monitor ML/AI models in production (batch).
  • Design, build, and maintain large-scale geospatial data pipelines.
  • Develop backend services and ML tooling
  • Establish observability for pipelines, models, and agents (metrics, tracing, alerting).
  • Collaborate with product and customer teams to drive revenue.

Required Skills:

  • Strong experience with distributed data processing (Spark, Python, Scala).
  • Strong experience build...

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