Machine Learning Intern
Tasks
- Apply change management controls for risk and compliance
- Build and train machine learning models
- Clarify and prioritize work items
- Conduct research and exploration
- Create test scenarios and diagnostic measures
- Define success criteria and track completion
- Deploy and support data science solutions
- Develop data science projects
- Frame business problems as data science problems
- Participate in Agile SCRUM rituals
- Perform code reviews
- Present results to technical and non-technical audiences
- Select and train models to avoid modeling errors
- Use CI CD and Kubernetes for deployment
- Use GIT for source control
- Use Linux and terminal tools
- Use docker for containerization
- Write modular reusable Python code
Perks/Benefits
Skills/Tech-stack
Anomaly Detection | CI/CD | Data Science | Deep learning | Docker | Git | Kubernetes | Language Processing | Linux | Machine Learning | Natural Language | Natural Language Processing | Numerical Optimization | Python
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Data Science | Data Science Intern | Intern | Science Intern
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