onsite
Machine Learning Threat Intelligence Engineer - Openkyber
ML Engineer
Lead the design, development, and deployment of enterprise‑scale generative AI and machine learning solutions for threat intelligence, leveraging Python, AWS, and containerization to deliver robust, scalable models and data pipelines.
About the role
Key Responsibilities
- Design, develop, and deploy generative AI and machine learning models for threat intelligence use cases.
- Build and maintain scalable data pipelines and model training workflows on AWS.
- Collaborate with data scientists and software engineers to integrate models into production systems.
- Optimize model performance, monitor production metrics, and troubleshoot issues.
- Document architecture, code, and best practices for internal knowledge sharing.
Requirements
- Proven experience in Python and machine learning frameworks (e.g., PyTorch, TensorFlow).
- Hands‑on expertise with generative AI techniques and large language models.
- Strong background in AWS services (SageMaker, EC2, S3, Lambda) and containerization (Docker, ECS).
- Experience with CI/CD pipelines, Git, and automated testing.
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
Skills
pythonmachine learninggenerative aiawsdocker