Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI.
Requirements
- Strong foundation in Python, Java, or similar programming languages
- Familiarity with data structures, algorithms, and software development principles
- Interest or experience in one or more areas: machine learning, cloud computing, cybersecurity, or applied AI
- Experience with frameworks such as TensorFlow, PyTorch, or Scikit-learn (for ML-focused roles)
- Familiarity with AWS, Azure, GCP, or container technologies like Docker/Kubernetes
- Coursework or projects related to AI ethics, data security, or distributed systems
Responsibilities
- building and evaluating predictive models, data pipelines, and analytics systems
- automating infrastructure, improving scalability and observability, and ensuring system resilience
- working on the safety, robustness, and responsible use of AI systems
- applying AI to enhance identity management, privilege control, and security policy automation
- Design, implement, and test software components or models
- Explore new tools, frameworks, and datasets to enhance product capabilities
Other
- Collaborate with technical teams and cross-functional teams on impactful projects
- Communicate results and insights to technical and non-technical audiences
- Contribute to documentation, presentations, or demos at the end of your internship
- Currently pursuing a Bachelors degree in Computer Science, Data Science, Engineering, or a related field
- Excellent problem-solving skills, curiosity, and eagerness to learn
