Machine Learning Engineer

Warszawa, Europe, PolandRemote

Responsibilities

Design, train, and deploy machine learning models used to detect malicious traffic patterns, bots, and anomalies in web traffic. •
Build and maintain ML pipelines for data collection, training, evaluation, and deployment. •
Integrate ML models into real-time security systems such as WAF and behavioral analytics engines. •
Improve data quality, feature engineering, and training workflows to increase model accuracy and reliability. •
Monitor model performance in production and retrain models as new data and threat patterns emerge. •
Collaborate with data, infrastructure, and product teams to ensure scalable and reliable ML systems. •

Blackwall is building the next generation of AI-powered security infrastructure to protect the web from automated threats.
We’re now hiring an Machine Learning Engineer to join our growing team and work closely with our Head of AI. You’ll help us bring intelligence to two distinct AI initiatives: •
Embedding AI capabilities into our Web Application Firewall (WAF), and •
This role is remote, but applicants must have the legal right to work in one of these locations. Role Details •
Work closely with the Head of AI, product managers, and engineers to develop and deliver AI-driven security features. •
Work primarily in Python , using common ML frameworks and data tooling to train and optimize models. •
experience as an ML Engineer, Data Scientist, or similar role working with production ML systems. •
Strong Python skills with
experience using ML libraries such as PyTorch, TensorFlow, or scikit-learn . •
Good understanding of classification, anomaly detection, and behavioral modeling . •
Experience working with large datasets and SQL-based data systems . •
Familiarity with deploying ML models into production environments. •
Understanding of software engineering best practices such as version control, testing, and CI/CD. •
Experience working on security, fraud detection, bot detection, or traffic analysis problems. •
Familiarity with cloud data tooling (e.g., BigQuery, Spark, Airflow). •