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Vaisala · 4 hours ago

Giant Leap Trainee - Machine Learning Automation Developer

Louisville, CO

Internship

Hybrid

Intern

$24/hr - $31/hr

Start in 2026 Summer

Vaisala is a company that provides technological innovations for measuring weather, environmental and industrial conditions. They are seeking a Giant Leap Trainee - Machine Learning Automation Developer to manage a project focused on building a production-grade Weather Sensor Exception Classifier service, enhancing critical alert processing and operational workflows.

CleanTechIndustrialIndustrial Engineering

Culture & Values

No H1B

Responsibilities

Productify and extend an existing proof-of-concept outage/exception classifier into a robust & extendable production service

Refine a pipeline that ingests critical-state alerts from monitoring services, enriches them with xWeather data & internal telemetry, and outputs: likely root cause, confounding factors (weather, network conditions, sensor patterns), recommended troubleshooting / recovery steps

Develop and maintain a full-stack LAMP implementation supporting the ensemble service gestalt (API layer, backend, persistence, and UI/ops views as needed)

Implement deterministic ML / rules + trend-based inference using historical time series and known failure modes

Integrate results into operational workflows to support rapid triage and reduce context-switching for NOC operators (supporting “0-click tickets” style automation)

Design for scale across networks such as lightning, WindCube lidar, weather radar, airports, and other observation systems

Collaborate closely with NOC stakeholders to validate outputs, tune inference logic, and ensure the service improves real-world resolution time

Qualification

Full-stack LAMP servicesPython REST microservicesTime series data handlingDeterministic machine learningProduction software shippingCollaboration with operations

Required

Strong experience building full-stack LAMP services (Linux/Apache/MariaDB/MongoDB/Python)

Solid Python REST microservice development experience; FastAPI / Flask

Experience working with time series data (ingestion, normalization, trend detection, anomaly/exception patterns)

Practical approach to 'deterministic machine learning' / explainable inference (rules, heuristics, feature-based classification, or lightweight models where behavior is understandable and supportable)

Ability to ship production software: testing, logging/observability, reliability, clear APIs, and attention to comprehensive documentation

Comfort collaborating with operations teams and iterating quickly based on feedback from diverse sources