Cyient Hiring Challenge 2026 – “Champ-AI-n” Technical Contest

Identifying Tomorrow’s AI Champions, Today

Cyient, in collaboration with HackerEarth, has launched the Champ-AI-n Hiring Challenge 2026 — a national-level technical challenge designed to identify and hire future-ready engineering talent in AI, Cloud, Data, Cybersecurity, and Automation.

This challenge gives early-career professionals a unique opportunity to showcase coding, algorithmic, and engineering skills while competing on a national platform.

📅 Challenge Details

• Challenge Name: Champ-AI-n

• Duration: 2 Hours

• Dates: March 06, 2026 – March 08, 2026

• Mode: Online

• Platform: HackerEarth

• Purpose: Hiring for Cyient (Bangalore & Hyderabad)

🧠 Challenge Overview

With over 30 years of engineering excellence, Cyient partners with 300+ global customers, including 40% of the world’s top 100 innovators. The company focuses on building digital, autonomous, and sustainable solutions through continuous innovation across technology platforms and engagement models.

The Champ-AI-n Challenge is created to assess candidates on real-world problem statements aligned with Cyient’s future digital roadmap.

🎓 Eligibility Criteria

Candidates must meet the following requirements:

• Experience: 3 months – 3 years (relevant technologies)

• Qualification: BE / BTech / ME / MTech / MCA

• Specialization: Computer Science / Information Technology

• Pass-out Year: 2025 and earlier

• Work Location: Bangalore & Hyderabad

Cyient is looking for passionate tech professionals ready to work across AI/ML, Cloud, Data Science, Software Development, Test Automation, and Cybersecurity.

📝 Recruitment Process

1. Online Assessment(s)

2. One Face-to-Face Assessment

Shortlisted candidates will move forward in the hiring process based on performance.

🔍 Description of the Challenge

🎯 1. Strategic Objective

This program supports Cyient’s Digital Technology roadmap, bringing together:

• Cloud & Data Engineering

• AI-driven platforms

• Secure software development

• Intelligent automation

Participants will solve industry-grade problem statements involving cloud-native platforms, web systems, embedded systems, and data-intensive architectures — with a strong focus on security, performance, scalability, and compliance.

⚙️ 2. Technology Focus Areas

a) Data, Cloud & AI Engineering

• Modern data architectures: Lakehouse, Data Mesh, Data Fabric

• Scalable ETL / ELT pipelines & streaming platforms

• AI/ML model development, deployment & monitoring

• MLOps practices

• Generative AI: LLMs, RAG, fine-tuning, agentic workflows

• AI-based data extraction from engineering diagrams, PDFs & DWG files

• Data governance, compliance & responsible AI practices

b) Secure Software & DevSecOps Engineering

• Secure coding across the SDLC

• Vulnerability remediation & security automation

• SAST, DAST & SCA integration in CI/CD

• Secure cloud, web & embedded development

• Infrastructure-as-Code hardening (Terraform, ARM, CloudFormation)

• API security, secrets scanning & dependency validation

• Secure firmware development & OTA security

c) Cyber Security & Offensive Security

• Vulnerability assessment & penetration testing

• OWASP, NIST, ISO & PTES frameworks

• Cloud security (AWS, Azure, containers)

• Red-team simulations & exploit mitigation

• Fuzz testing for APIs & embedded systems

• Kubernetes security, RBAC & network policies

d) Quality Engineering & Automation

• SDLC & STLC understanding

• Automation using scripting & frameworks

• Programming: Java / Python / JavaScript

• Defect prevention & continuous quality improvement

• Foundational AI/ML knowledge

• ISTQB (preferred)

🔮 3. Market Relevance & Future Readiness

The challenge aligns with modern industry trends such as:

• Zero-Trust Security

• Cloud-native architectures

• AI-driven decision-making

• Compliance-first development

• Secure-by-design systems

🤝 4. Talent & Team Building Purpose

Beyond hiring, this challenge aims to build strong engineering teams in:

• Software Development

• Data & AI Engineering

• Cloud Engineering

• Penetration Testing

• Quality Engineering

The outcomes directly influence Cyient’s future strategic digital engagements.

💼 Job Roles Offered

🔹 AI / Cloud / Data Roles

AI Engineer

Skills Required

• AI + Cloud + Data Architecture

• NLP (Transformers, BERT, GPT concepts)

• Deep Learning (CNN, RNN, LSTM)

• ML algorithms & data governance

Data Engineer

Skills Required

• SQL, Spark

• ETL / ELT pipelines

• Kafka, Airflow, ADF, Glue

• Data modeling & lakehouse concepts

ML Engineer

Skills Required

• Python, ML, MLOps

• TensorFlow, PyTorch, Scikit-learn

• SageMaker / Azure ML / Vertex AI

Cloud Engineer

Skills Required

• Networking & Security

• IaC, Docker, Kubernetes

• High availability & disaster recovery

🔐 Penetration Tester

A hands-on offensive security role involving cloud, web, network, and embedded systems.
Certifications like OSCP, CEH, AWS Security are preferred.

🛡️ Secure Developer

Focuses on secure coding, vulnerability remediation, and DevSecOps practices across cloud and embedded platforms.

🧪 Quality Engineer – V&V

Ideal for fresh graduates interested in test automation, validation & verification, and quality processes.

✅ Final Note

The Cyient Champ-AI-n Hiring Challenge 2026 is more than a competition — it’s a career-launch platform for future-ready engineers. If you’re passionate about AI, Cloud, Data, Security, or Automation, this challenge can open doors to exciting opportunities at Cyient.

👉 Register early, prepare smart, and take your step toward an intelligent engineering career.