Job Description

🚀 ML Ops Engineer – Satellite Data & Climate Intelligence

Location : Denver or Boston

Employment Type : Full-Time

🛰️ About the Role

We’re seeking an experienced ML Ops Engineer to help scale and streamline machine learning infrastructure across high-volume, real-time geospatial data pipelines. You'll join a fast-moving engineering team building systems that turn atmospheric, satellite, and Earth observation data into actionable insights for climate, defense, and commercial markets.

This is a high-impact opportunity for someone who thrives in an environment that blends data science, cloud infrastructure, and scientific computing.

🔧 What You’ll Do

• Build and maintain CI/CD pipelines for ML model development, training, and deployment
• Optimize end-to-end data workflows—from raw remote sensing input to production-grade inference
• Containerize and orchestrate ML workloads using Docker, Kubernetes, and Airflow
• Collaborate with data scientists to translate research models into scalable, monitored production systems
• Implement infrastructure as code using Terraform or CloudFormation
• Monitor model performance and retraining triggers across distributed compute environments
• Automate model versioning, artifact tracking, and experiment reproducibility (e.g., MLflow, DVC)

✅ What We’re Looking For

• 3–7 years of experience in ML Ops, DevOps, or Data Engineering
• Hands-on experience deploying and monitoring ML models in production environments
• Experience with large-scale, sensor or satellite-based data workflows a big plus
• Solid understanding of data lifecycle, version control, and CI/CD practices in ML
• Strong Python skills and familiarity with common ML frameworks
• Background in Earth science, meteorology, or geospatial data is a bonus but not required
• Must be able to work in the office in Either Denver or Boston

🎯 Why You’ll Love This Role

• Work on real-world climate
• Contribute to products with direct global impact
• Collaborate with domain experts in Earth science, AI, and aerospace
• Enjoy a flexible, remote-friendly work culture
• Competitive salary, benefits, and opportunities to grow in a rapidly scaling organization

📧 Sounds like you? Please click on the ‘Easy Apply’ button. You can also send your resume directly to benjamin.geraghty@storm4.com or message me directly!

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