ML Engineer / Applied scientist
- Джерело:
- djinni.co
Що робити
- ML & Data feasibility
- Assess the availability and quality of historical data for ML use cases
- Analyze data coverage, class/event distribution, temporal coverage and labeling quality
- Identify data gaps and determine whether additional instrumentation or data collection is required
- Evaluate whether the available data contains sufficient signal for predictive or classification tasks
Що очікуємо
- 4+ years of professional experience in Machine Learning, Applied Data Science, Data Science Engineering or a related field
- Strong Python skills and hands-on experience with ML/data science workflows
- Strong understanding of: supervised and unsupervised learning; classification; regression; time-series analysis; anomaly detection; forecasting; model evaluation.
- Experience working with temporal and event-based datasets
- Strong understanding of data leakage, train/validation/test splitting and evaluation methodology
Що пропонуємо
- Network / Telemetry / IoT
- Experience working with data generated by: wireless networks, IoT devices, sensor networks, telecommunications systems, distributed infrastructure,
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