About the Role
The intern will contribute to AI-driven projects by assisting in model development, data processing, and system integration while working alongside experienced engineers and data scientists.
Responsibilities
- Assist in designing and training machine learning models for real-time data analysis
- Support data preprocessing and feature engineering tasks
- Collaborate with engineers to integrate AI components into software systems
- Evaluate model performance using defined metrics and testing protocols
- Document technical processes and project developments
- Participate in team meetings and technical discussions
- Conduct research on emerging AI methodologies and tools
- Help maintain version control for AI-related codebases
- Troubleshoot issues in model deployment pipelines
- Support testing and validation of AI-driven features
- Work with structured and unstructured datasets
- Follow software development best practices
- Assist in optimizing model inference speed and accuracy
- Contribute to internal tools for model monitoring
- Engage in code reviews with team members
- Apply statistical methods to interpret model outputs
- Use programming languages such as Python for development tasks
- Work within cloud-based computing environments
- Ensure compliance with data privacy standards
- Adhere to project timelines and deliverables
- Communicate progress to supervisors and team leads
- Maintain organized records of experiments and results
- Support documentation for regulatory considerations
- Leverage machine learning frameworks like TensorFlow or PyTorch
- Participate in knowledge-sharing sessions
Compensation
Competitive hourly wage based on experience and academic level
Work Arrangement
Hybrid work model with both on-site and remote options
Team
Collaborative environment within the AI and software engineering division
What You’ll Gain
- Hands-on experience with real-world AI applications in a technical environment
- Mentorship from experienced AI and software professionals
- Exposure to end-to-end development of machine learning systems
- Opportunities to present work to team leads and stakeholders
- Insight into regulatory aspects of software in health technology
Education Requirements
- Must be actively pursuing a degree in computer science, engineering, data science, or a closely related technical field
- Minimum academic standing of sophomore level in a four-year program
Not available for this position
