AI Application Development At — Kynos AI
Internship Opportunity at Kynos AI: Innovate with Us! Are you a university student passionate about AI and eager to apply your skills in a real-world setting? Kynos AI is offering an exciting internship opportunity for motivated individuals looking to innovate and grow in the field of artificial intelligence. What You'll Do: Collaborate with our expert team on cutting-edge AI projects. Gain hands-on experience with machine learning models and AI technologies. Contribute to the development of AI solutions that empower businesses. What We Offer: Mentorship from industry professionals. A dynamic and supportive work environment. Opportunities to work on meaningful projects that make an impact. Flexible hours to accommodate your academic schedule. Who We're Looking For: Students pursuing a degree in Computer Science, Engineering, or a related field. Strong interest in AI and machine learning. Excellent problem-solving skills and a collaborative mindset.
Here are some preferred skills that would be beneficial for interns at Kynos AI: Programming Skills: Proficiency in programming languages such as Python, Java, or C++ is essential for working with AI and machine learning models. Machine Learning Knowledge: Understanding of machine learning concepts, algorithms, and frameworks like TensorFlow or PyTorch. Data Analysis: Ability to work with large datasets, perform data preprocessing, and apply statistical analysis. Problem-Solving: Strong analytical skills to identify and solve complex problems using AI techniques. Team Collaboration: Excellent communication and teamwork skills to collaborate effectively with colleagues and contribute to projects. Adaptability: Willingness to learn new technologies and adapt to evolving project requirements. Creative Thinking: Innovative mindset to develop new ideas and approaches in AI applications.
Web Based training will be provided.
There are no safety concerns related to this position.
Please email Steve Groom|Kynos Ai|CEO Steve@kynos.ai with your resume and contact information.
Hours | Duration |
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8 | hours per week |