> Markdown version of [/jobs/ext/276949-crowdstrike-ai-security-engineer](https://www.wearedevelopers.com/jobs/ext/276949-crowdstrike-ai-security-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # CrowdStrike AI Security Engineer - **Company:** OpenKyber LLC - **Location:** United States - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Artificial Neural Networks, Computer Vision, Microsoft Azure, Big Data, Cloud Computing, Cluster Analysis, Databases, Continuous Integration, Apache Hadoop, Python (Programming Language), Machine Learning, NumPy, Tensorflow, Data Processing, Google Cloud, Pytorch, Apache Spark, Deep Learning, Pandas, Scikit Learn, Kubernetes, Data Management, Machine Learning Operations, Restful APIs, Docker - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=aa2c542b1c6936ce ## About the Role * 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 ## Description * 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. ## Related Videos - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [How to implement convenient Python bindings to C++](https://www.wearedevelopers.com/videos/618-how-to-implement-convenient-python-bindings-to-c) - [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)