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REQUIREMENT_ID_235 β€’ 3-DAY_ACTIVE_POLICY

Iris Software Graduate Trainee – Talent Acquisition | Freshers | Noida |Graduates

Company
Company Irissoftware
Type
Opportunity Type Internship
Salary
Stipend / Salary 3.5 LPA
Location
Location India
Posted Date
Posted Date Today
Communication Resume Screening Interview Coordination ATS Management Organizational Skills Attention to Detail Confidentiality Positive Attitude Basic MS Office Team Collaboration
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Aptitude Practice Questions Open Resource β†—
Helps you prepare for the online aptitude test commonly used in Iris Software’s selection process.
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Interview Preparation Guides Open Resource β†—
Provides insights into typical HR and technical interview questions asked by Indian IT firms, useful for Iris Software interviews.
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Comprehensive Interview Resources Open Resource β†—
Offers curated interview experiences, tips and mock questions to boost confidence for the recruitment rounds.
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Problem‑Solving Practice Sets Open Resource β†—
While not directly related to HR, solving logical problems sharpens analytical thinking useful for aptitude assessments.

Graduates of 2024 with B.Tech, B.Sc or BCA degrees (any branch). MBA graduates are preferred. Minimum aggregate of 60% (or equivalent CGPA). No active backlogs at the time of joining. Candidates must have strong communication skills and a genuine interest in HR and talent acquisition.

1
Round 1: Online aptitude/psychometric test
2
Round 2: Technical/HR interview focusing on recruitment concepts and communication
3
Round 3: Final HR discussion covering cultural fit and career aspirations
Iris Software is one of India’s fastest‑growing IT services firms, employing more than 4,300 professionals across India, the United States and Canada. The company delivers end‑to‑end technology solutions in Application Engineering, Data & Analytics, Cloud, DevOps, Quality Engineering, Data & MLOps and Business Automation. Recognised among India’s Topβ€―25 Best Workplaces in the IT industry, Iris prides itself on a culture of innovation, continuous learning and employee‑first policies. The Noida office serves a diverse portfolio of enterprise clients spanning financial services, healthcare, logistics and professional services. With a strong focus on digital transformation, the firm invests heavily in up‑skilling its workforce, offering structured learning paths, certifications and mentorship programmes. Employees benefit from a collaborative environment where ideas are encouraged and career growth is actively supported. **Role Summary** As a Graduate Trainee – Talent Acquisition, you will be immersed in the full recruitment lifecycle. Working side‑by‑side with senior recruiters and hiring managers, you will gain practical exposure to sourcing strategies, resume screening, interview coordination, ATS management and onboarding support. The role is designed to build a solid foundation in HR operations and talent acquisition, preparing you for future senior HR positions. **Key Responsibilities** 1. Create and publish job advertisements on internal and external hiring platforms. 2. Screen resumes, shortlist candidates and maintain a talent pipeline. 3. Conduct initial phone screens to assess fit and communication skills. 4. Coordinate interview schedules between candidates and hiring managers. 5. Update and manage data in the applicant tracking system (ATS). 6. Assist in organizing recruitment drives, campus visits and job fairs. 7. Support onboarding activities, including documentation and orientation. 8. Provide administrative assistance to the Talent Acquisition team. 9. Generate weekly recruitment metrics and reports. 10. Participate in continuous improvement initiatives for hiring processes. **Tech Stack / Tools**: Microsoft Office Suite, Google Workspace, ATS platforms (e.g., Zoho Recruit, Freshteam), LinkedIn Recruiter, Slack/Teams for communication, basic Excel for data analysis. **Growth Path**: Successful trainees can progress to Recruiter, Senior Recruiter, Talent Acquisition Specialist and eventually HR Business Partner or Talent Acquisition Manager, with opportunities to specialize in campus hiring, corporate recruitment or employer branding. **Why Join Iris Software?** - Direct mentorship from seasoned HR professionals. - Exposure to hiring for cutting‑edge technology projects. - Structured learning programmes and certifications. - Competitive compensation and clear career progression. - A vibrant, inclusive culture that values employee well‑being and work‑life balance.

Irissoftware β€” AI & Machine Learning Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC πŸ“–
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource β†—
COMPANY GUIDE 🎯
Irissoftware Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Irissoftware and off-campus tech roles.

Open Resource β†—
MOCK TESTS & PAPERS πŸ“
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource β†—
CODING PRACTICE πŸ’»
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource β†—
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Communication, Resume Screening, Interview Coordination, ATS Management, Organizational Skills, Attention to Detail, Confidentiality, Positive Attitude, Basic MS Office, Team Collaboration) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Irissoftware Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the bias-variance tradeoff and how do you prevent overfitting? Answer β–Ό
Model Answer: High bias leads to underfitting (oversimplified model), high variance leads to overfitting (captures noise). Mitigate using L1/L2 Regularization, Dropout, Cross-Validation, and data augmentation.
Explain the difference between Precision, Recall, and F1-Score. Answer β–Ό
Model Answer: Precision = TP / (TP + FP) (correctness of positive predictions). Recall = TP / (TP + FN) (coverage of actual positives). F1-Score is the harmonic mean of Precision and Recall.
How does Gradient Descent work and what is the role of Learning Rate? Answer β–Ό
Model Answer: It optimizes loss functions by iteratively moving weights in the direction of negative gradient. A large learning rate may overshoot the minimum; a small rate causes slow convergence.
What is the difference between Supervised, Unsupervised, and Self-Supervised learning? Answer β–Ό
Model Answer: Supervised uses labeled data (X -> y). Unsupervised finds hidden patterns in unlabeled data (clustering/PCA). Self-supervised generates labels from input data (e.g. masked language modeling in BERT/Transformers).
Why do you want to join Irissoftware as a Iris Software Graduate Trainee – Talent Acquisition | Freshers | Noida |Graduates?
Preparation Tip: Highlight Irissoftware's market reputation, recent tech innovations, and how your skills in Communication directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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