Responsibilities
- Design, develop, deploy, and fine-tune ML models to solve business problems.
- Preprocess data, select appropriate models, and perform feature engineering.
- Collaborate with other engineering teams to integrate ML models.
- Continuously evaluate and improve model performance.
- Collaborate with stakeholders to understand requirements, assimilate data, build models, communicate results, and deploy solutions.
- Develop the AI/ML platform and infrastructure to power key AI/ML features in the Contrast Platform.
- Stay updated with the latest ML and AI trends and technologies.
- Mentor other team members.
Qualifications
- Passionate about ML and AI technologies
- Proven experience as a machine learning engineer or similar role
- Understanding of application security
- Experience with various machine learning algorithms, data preprocessing, and feature engineering
- Experience deploying ML models in production environments
- Familiarity with containerization and orchestration tools like Docker & Kubernetes
- Strong problem-solving skills and the ability to troubleshoot complex issues
- Excellent communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences
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