Senior Machine Learning Engineer

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.

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.

Requirements

• Strong experience with distributed data processing (Spark, Python, Scala).
• Strong experience building production ML systems (training, deployment,...