SDET 3 - Model Evaluation
Core
Own end-to-end quality for ML models processing satellite imagery, geospatial, and weather data, from training data preparation through inference pipelines to production scale.
Role type
Senior SDET (Software Development Engineer in Test) for ML models
Builds
Validation frameworks for computer vision models, version-aware regression pipelines, data quality gates, and load/benchmark tests for inference services on AWS and Kubernetes
Domain
GreenTech / Electric Utilities / Satellite Imagery / Geospatial Data
Deliverable
production ML models
Required skills
Backend automation (Java/RestAssured or Python/pytest), ML application testing, Observability (logs/metrics/traces), Cloud (AWS), Contract testing, Data-pipeline validation, CI/CD pipelines, Performance testing, SQL/NoSQL, Kubernetes, Agentic AI tools (Cursor/Claude)
Preferred skills
Experience with agentic development tools for test authoring and debugging
Technologies
Java, Python, RestAssured, pytest, AWS, Kubernetes, Jenkins, GitHub Actions, JMeter, k6, Locust, Cursor, Claude
Responsibilities
Build validation frameworks for computer vision models; Set up pipelines for version-aware model regression; Validate training and evaluation datasets for quality and drift; Design load and benchmark tests for inference services; Automate API, contract, and data-pipeline tests; Strengthen shared automation frameworks and set testing standards
Seniority
Senior, hands-on IC
