AI/ML Intern
closed
Intradiem
Summary
Join Intradiem, a technology company reinventing customer service through automation, as an AI/Machine Learning Intern. You will be responsible for implementing and designing software subsystems and algorithms for the Machine Learning initiative. This individual contributor role involves developing software implementations consistent with Intradiem's design and coding practices. The internship offers opportunities to work with a team, review algorithms, learn from subject matter experts, troubleshoot field issues, and contribute to mission-critical code. Intradiem fosters a family-first culture, transparent leadership, and growth opportunities. The company values service and encourages employee contributions to community causes.
Requirements
- Requires an educational background in AI/ML or the desire to study this field in depth
- Currently pursuing a Bachelorβs degree in Computer Science, Engineering, Mathematics, Statistics, or related field
- Have a solid grasp of coding technologies such as Java, C++, Python, R etc
- Interest in AI/ML technologies such asGenetic AlgorithmsQuantitative MethodsLinear ProgrammingNon-Linear ProgrammingTime Series Decomposition/AnalysisOntology ModelingGraph Theory
- Interest in cloud related technologies such as:KubernetesDocker
- Ability / desire to research and understand the latest tools and technologies in the AI/ML space
Responsibilities
- Work with other team members to develop mission-critical code, algorithms, and supporting documents for the AI/ML initiative
- Review algorithms for accuracy, performance, and appropriateness
- Work with subject matter experts to learn the tools and techniques to develop and deliver quality AI software
- Where necessary, troubleshoot and correct field issues in concert with other functional teams identifying root cause and corrective action
- Conduct all business in accordance with Intradiemβs development and security policies and procedures
- All other duties as assigned
Preferred Qualifications
Experience with Java, Spring Framework (including Spring Boot), and Java-oriented middleware technologies is desirable
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