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!
Job Tags
Full time, Flexible hours,