Job Overview
Role: Engineering Intern Location: Bangalore Experience: Freshers / Class of 2026 (Internship) Qualification: Bachelors or Masters Degree in Computer Science (B.Tech/BE/M.Tech/MCA/MS) Key Skills: Distributed computing, machine learning, debugging production systems, automated talent analytics
Job Description
As an Engineering Intern, you will work on distributed computing environments and modern machine learning platforms. You will collaborate with senior tech leaders, debugging high-concurrency production systems and innovating smart solutions for automated talent analytics.
Roles and Responsibilities
- Application Development: Learn to design, write, deploy, and scale functional code structures to enhance high-tier cloud microservices and machine learning models.
- Production Debugging: Isolate functional anomalies, run root-cause testing scenarios, and troubleshoot database or microservice issues in live enterprise cloud environments.
- System Innovation: Invent and prototype creative technical solutions to counter scaling limitations across high-volume dataset aggregation pipelines.
- Cross-Functional Operations: Brainstorm and cooperate on features in an open, highly agile ecosystem alongside principal software architects, data scientists, and UI/UX designers.
- Data-Driven Optimizations: Continuously monitor and evaluate software usability metrics, applying statistical insights to refine platform responsiveness.
Skills and Eligibility Criteria
Educational Background: Currently pursuing a full-time Bachelors or Masters degree program in Computer Science or tightly related technological branches. Graduation Timing: Class of 2026. Academic Performance: Cumulative CGPA of 8.0 or above on a 10-point evaluation scale.
Experience: Internship / Freshers
Mandatory Technical Skills:
- Exceptionally clear understanding of baseline Computer Science concepts, complex data structures, algorithms, and modular object programming
Competencies:
- Academic or personal project exposure handling machine learning toolkits, AI models, or natural language processing elements
- Baseline cross-platform application experience (Web dashboards, Android wrappers, iOS ecosystems, or email services)
- Strong multi-tasking abilities with an innate knack for meeting software development sprint goals independently
- Proactive mindset demonstrating empathy, customer centricity, effective teamwork, and high-quality written communications