CrowdStrike AI Security Engineer

• Design and develop machine learning models (supervised, unsupervised, deep learning).
• Collect, clean, and preprocess large datasets.
• Train, test, and optimize models for performance and scalability.
• Deploy ML models into production environments.
• Work with APIs and integrate models into applications.
• Collaborate with data scientists, software engineers, and business teams.
• Monitor and maintain model performance over time.
• Stay updated with latest AI/ML trends and technologies.

• Programming: Python (mandatory), R (optional)
• Libraries/Frameworks: TensorFlow, PyTorch, Scikit-learn
• Data handling: Pandas, NumPy
• Machine Learning concepts: Regression, Classification, Clustering
• Neural Networks
• NLP / Computer Vision (optional specialization)
• SQL & databases
• Experience with cloud platforms (AWS, Azure, Google Cloud Platform)
• Understanding of REST APIs and deployment

Preferred Qualifications:

• Experience with deep learning models (CNN, RNN, Transformers)
• Knowledge of MLOps tools (Docker, Kubernetes, CI/CD)
• Experience with big data tools (Spark, Hadoop)
• Real-world project experience or portfolio