Data and AI Engineering Intern - Remote Opportunity
About the Role
We are excited to announce an opening for a Data and AI Engineering Intern at ING Hubs Türkiye, where you'll have the chance to engage in innovative projects that shape the future of technology. As a Data and AI Engineering Intern remote, you will work alongside experienced professionals in a dynamic environment that fosters learning and growth.
What You'll Do
- Collaborate with teams on real-world AI and technology projects, contributing to ING's global digitalization journey.
- Engage in hands-on learning experiences that allow you to apply theoretical knowledge to practical challenges.
- Participate in the development and implementation of AI solutions that enhance operational efficiency.
- Contribute to data management and analysis efforts, supporting data-driven decision-making.
- Work within a vibrant team environment that encourages innovation and creativity.
Requirements
- Currently enrolled as a 3rd or 4th year engineering student.
- Strong interest in data science, machine learning, and AI technologies.
- Basic understanding of programming languages such as Python or R.
- Ability to work collaboratively in a team-oriented environment.
- Motivated and eager to learn, with a passion for technology and innovation.
Nice to Have
- Familiarity with data analysis tools and frameworks.
- Experience with AI/ML projects, either academically or through personal projects.
- Knowledge of cloud platforms such as AWS or Azure.
What We Offer
- A dynamic work environment that promotes creativity and innovation.
- Global exposure through participation in international projects.
- Opportunities for professional growth and development.
- A supportive team culture that values communication and collaboration.
- Flexible working conditions that cater to your needs.
This internship offers a unique opportunity to work remotely on impactful AI projects at ING, a reputable organization in the banking industry. You'll gain hands-on experience and be part of a supportive team culture.
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