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Tech Intern – Frontend / Backend / DevOps / AI / Data Engineering ( Remote )
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Tech Intern – Frontend / Backend / DevOps / AI / Data Engineering ( Remote )
Springer Capital
Tech Intern – Frontend / Backend / DevOps / AI / Data Engineering ( Remote )
Springer Capitalتفاصيل العمل عن بعد
البلد المفتوح:حول العالم
متطلبات اللغة:إنجليزية
وصف الوظيفة
- تقدير ومكافآت الموظفين
لا سياسة في العمل
We are looking for passionate and driven interns across multiple technology domains including Frontend Development, Backend Development, DevOps, AI/ML, and Data Engineering. This internship offers hands-on experience in real-world projects, collaboration with cross-functional teams, and exposure to modern tools and technologies.
Domains & Responsibilities
Frontend Development
- Build responsive and user-friendly web interfaces
- Translate UI/UX designs into functional applications
- Optimize performance and ensure cross-browser compatibility
- Backend Development
- Develop APIs and server-side logic
- Work with databases and data storage solutions
- Ensure application security and performance
DevOps
- Assist in CI/CD pipeline setup and automation
- Manage deployments and cloud infrastructure
- Monitor system performance and reliability
AI / Machine Learning
- Develop and train ML models
- Work on NLP, automation, or AI-driven features
- Analyze datasets and evaluate model performance
Data Engineering
- Build and maintain data pipelines (ETL/ELT)
- Ensure data quality and availability
- Work with large datasets and optimize data workflows
Required Skills (Any One Domain)
- Frontend: HTML, CSS, JavaScript, React/Vue/Angular
- Backend: Node.js / Python / Java / PHP, APIs, databases
- DevOps: Linux, Git, CI/CD basics, cloud fundamentals
- AI/ML: Python, ML basics, TensorFlow/PyTorch/Scikit-learn
- Data Engineering: SQL, Python, data processing concepts
Good to Have
- Knowledge of Git and version control
- Basic understanding of cloud platforms (AWS/Azure/GCP)
- Problem-solving mindset and willingness to learn
- Exposure to real-world or academic projects
Who Should Apply
- Students or recent graduates in Computer Science, IT, or related fields
- Candidates with strong interest in any of the above domains
- Self-learners with project experience are highly encouraged
Internship Details
- Duration: 3–6 months
- Mode: Remote
- Certificate + PPO (Pre-Placement Offer) based on performance
What You’ll Gain
- Hands-on experience with real projects
- Mentorship from experienced professionals
- Exposure to industry tools and workflows
- Opportunity to convert to a full-time role
Jenny Birch
HR ManagerSpringer Capital
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