AI/ML Backend Engineer Intern
- Remote •
- Internship
Posted: 2 months ago
Visa Sponsorship
Not Available
Remote Work Policy
Onsite or remote
Hires remotely
Everywhere
RelocationAllowed
About the job
Are you passionate about AI and machine learning? Do you want to gain hands-on experience in backend development while working on cutting-edge technology? Join us at GraphLenz as an AI/ML Backend Engineer Intern and help us shape the future of data visualization!
About GraphLenz
GraphLenz is an AI-powered data visualization platform that simplifies complex data analysis, making insights accessible and actionable for businesses of all sizes. We’re looking for an enthusiastic intern to join our team and contribute to the development of our AI-driven solutions.
What You'll Do
- AI Integration: Assist in integrating OpenAI models and machine learning algorithms into our platform.
- Backend Development: Work on building and optimizing backend systems, ensuring they are scalable, reliable, and efficient.
- Data Handling: Contribute to developing data processing pipelines and managing large datasets.
- Collaboration: Work closely with our product and data science teams to bring new features to life and improve existing ones.
What We're Looking For
- Basic Experience: Familiarity with Python and backend frameworks like Django, Flask, or FastAPI.
- AI/ML Interest: A strong interest in AI and machine learning, with some experience using tools like TensorFlow, PyTorch, or OpenAI’s API.
- Eagerness to Learn: Willingness to dive into complex problems and learn on the job.
- Team Player: Good communication skills and the ability to work well in a collaborative environment.
Why Join Us?
- Hands-On Experience: Get real-world experience working with AI and backend technologies in a startup environment.
- Mentorship: Work directly with experienced engineers who will guide and mentor you throughout the internship.
- Flexible Work: Enjoy the flexibility of remote work, allowing you to balance your studies and internship.
- Growth Opportunities: Potential for full-time employment based on performance and company needs.
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