Veyrai AI Preparation Recommendation
Generate a role-specific roadmap and practice voice technical interviews calibrated to DataCore.
Original Source: Admin Created
About the Role
1. Join DataCore's AI team as a Software Intern and gain hands-on experience building AI-powered product features, internal tools, and software services.
2. Work across multiple AI projects instead of being assigned to a single project, gaining exposure to different areas of AI development.
3. Collaborate with experienced engineers, mentors, and other interns throughout the software development lifecycle.
4. Apply modern AI models, LLMs, and AI technologies to real-world problems in a production software environment.
5. Contribute to coding, testing, debugging, documentation, and maintenance of software solutions.
Key Responsibilities
- Work on multiple AI projects during the internship.
- Collaborate with mentors and engineering teams.
- Code, test, debug, and maintain software.
- Apply modern AI technologies throughout product development.
- Document technical work and project outcomes.
- Present findings and results to the team.
- Complete assigned tasks while maintaining professional standards.
Eligibility & Required Qualifications
- Eligible batch: 2027 graduates.
- Final-year Bachelor's or Master's degree students.
- Eligible fields: Computer Science Engineering, AI & ML Engineering, Data Science, or related disciplines.
- Minimum GPA: 7.0 or 70% and above.
- Python proficiency is mandatory.
- Basic understanding of REST APIs.
- Basic front-end development skills.
Required Technical Skills & Tools
PythonLarge Language Models (LLMs)OpenAI APIsAI APIsREST APIsBasic Frontend DevelopmentAI/ML FundamentalsNeural NetworksDeep LearningTransformersEmbeddingsModel Training and Fine-tuning
Preferred Qualifications
- Strong problem-solving and algorithmic skills.
- Competitive programming experience.
- Personal AI/ML projects, research, or hackathon participation.
- Open-source contributions.
- Ability to learn unfamiliar codebases and technologies quickly.
- Strong written and verbal communication skills.
- Self-motivated and collaborative mindset.
Benefits & Perks
- Hands-on experience with real-world AI applications.
- Exposure to multiple AI projects.
- Mentorship from experienced engineers.
- Experience working in a production software environment.
- Opportunity to collaborate with DataCore's engineering teams.
DataCore
TechnologyDataCore technology company careers.
Headquarters:India / Global
Company Size:1,000+ employees
Interview Readiness
Practice for DataCore with Sub-200ms Voice AI
Experience the actual verbal pressure of high-bar engineering interviews. Veyrai listens to your code explanations and interrogates system edge cases.
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