Build ML models and LLM features that turn industrial/energy IoT telemetry (smart meters, vibration, temperature, power quality) into alerts, forecasts, and operator-facing insights.
1
Your role & responsibilities
Analyze and clean sensor/time-series data; help define "normal" baselines.
Build and evaluate anomaly detection and basic predictive maintenance models.
Support energy forecasting using telemetry + context (weather/occupancy).
Build simple LLM tools (RAG) to explain alerts, summarize incidents, and suggest next steps using internal docs (SOPs, asset metadata, logs).
Work with engineers to productionize: basic tests, monitoring, and clear metrics.
2
Your skills & qualifications
1–4 years experience (or strong projects) in data science/ML or LLM apps.
Python + common data/ML tools (pandas, numpy, scikit-learn or similar).
Familiarity with LLM basics (prompting, embeddings/vector search, RAG).
Can communicate results clearly and ship working code.
Nice to have
Time-series ML (anomaly detection/forecasting), IoT/MQTT/Kafka experience.
Exposure to streaming vs batch processing.
3
Benefits
Competitive salary (up to VND 30,000,000/month, based on experience).
Year-end bonus and holiday/Tet incentives according to company policy.
A young, dynamic environment that encourages creativity and career growth.
Ongoing training and development to upskill and stay current with modern technologies.
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