CrowdStrike AI Security Engineer
OpenKyber LLC
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Tech stack
API
Artificial Intelligence
Amazon Web Services (AWS)
Artificial Neural Networks
Computer Vision
Azure
Big Data
Cloud Computing
Cluster Analysis
Databases
Continuous Integration
Hadoop
Python
Machine Learning
NumPy
TensorFlow
Data Processing
Google Cloud Platform
PyTorch
Spark
Deep Learning
Pandas
Scikit Learn
Kubernetes
Data Management
Machine Learning Operations
REST
Docker
Job 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.
Requirements
- 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