ML Engineer
Tasks
- Build production machine learning models
- Classify runtime telemetry for security decisions
- Deploy and version machine learning models
- Design ML feature engineering and evaluation
- Develop LLM based detection using function calling
- Implement retrieval-augmented generation
- Perform behavioural threat detection
- Run A B testing for detection models
- Turn telemetry into detection risk scores and behavioural baselines
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Anomaly Detection | B testing | BigQuery | Class imbalance | Classification | ClickHouse | Evaluation | Feature Engineering | Fine Tuning | Function Calling | Gradient boosting | LLM | Machine Learning | Model Deployment | Model Evaluation | Model versioning | Noisy Labels | Pandas | Prompt engineering | PyTorch | Python | Regression | Retrieval-Augmented Generation | Scikit-learn | Series modeling | Snowflake | Spark | TensorFlow | Time Series | Time Series Modeling
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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