Machine Learning Engineer II
New
A
AbnormalCybersecurity
Remote - UKFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 3+ years
- Required Skills
- PythonSQLMachine LearningPyTorchPandasSparkTensorflowscikit-learnMLOps
Requirements
- Proven experience as a Machine Learning Engineer or similar role in a commercial environment (3+ years).
- Knowledge of machine learning algorithms, statistics, and predictive modeling.
- Proficiency with Python and machine learning toolkits like pandas, scikit-learn, and optionally PyTorch/TensorFlow.
- Awareness of MLOps and productionization of ML models.
- Familiarity with building data and metric generation pipelines, using tools like SQL or Spark.
- Ability to communicate technical ideas in a clear, non-technical manner.
Responsibilities
- Contribute to the development of machine learning algorithms and models for behavioral modeling and cybersecurity attack detection.
- Work with cross-functional teams to understand requirements and translate them into effective machine learning solutions.
- Conduct exploratory data analysis, feature engineering, model development and evaluation.
- Work with infrastructure & product engineers to productionize models and new ML-based features.
- Monitor and improve production models through feature engineering, rules, and ML modeling as part of a team effort.
- Participate in code reviews to ensure the quality and maintainability of ML systems.
- Stay updated on the latest research in the field of machine learning, data science, and AI.
- Adopt and contribute to the development of machine learning best practices within the organization.
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