Senior Geospatial ML Engineer building satellite - imagery vegetation intelligence for a climate - tech company. Improving production models and pipelines to help utilities prevent wildfires and outages.
About the role
- Machine Learning Developer leveraging AI to enhance decision-making in water utilities infrastructural systems. Integrating and optimizing cutting-edge ML solutions in an agile environment.
Responsibilities
- Implement, integrate, and optimize AI models for predictive analytics, operational decision-making, and anomaly detection within production systems
- Build scalable, cloud-based ML pipelines and APIs using Python, FastAPI, and AWS services (e.g., SageMaker, Lambda)
- Collaborate on the end-to-end ML lifecycle: data ingestion, feature engineering, model evaluation, and deployment
- Work with large, complex datasets (including time-series and sensor data) to extract actionable insights
- Ensure seamless integration of AI components into our SaaS platform with high reliability and performance
- Design and implement agentic workflows that enable autonomous decision-making and orchestration of AI-driven tasks
- Contribute to backend architecture, algorithm design, and software engineering best practices
- Implement robust testing strategies (unit, integration, performance) and CI/CD pipelines for production-grade systems
- Stay ahead of emerging ML technologies and contribute to open-source projects
Requirements
- Bachelor’s degree or Master's degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience)
- 3-5+ years of experience in machine learning and software development for production systems
- Strong proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)
- Experience with cloud-based ML services (AWS SageMaker preferred)
- Solid understanding of data structures, algorithms, and software design principles
- Familiarity with SQL/NoSQL databases and handling large-scale datasets
- Experience building and deploying APIs and microservices
- Knowledge of CI/CD pipelines and version control (Git)
- Excellent communication and collaboration skills.
Benefits
- Annual cash bonuses
- Comprehensive benefits package
- Stock grants
- Professional development opportunities
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