Codenera has announced multiple hiring opportunities for fresh graduates and early-career professionals as part of its latest Campus Hiring Drive 2026. The company is actively recruiting candidates for large-scale projects focused on Artificial Intelligence, Machine Learning, Data Analytics, Data Science, and Automation Technologies.

This hiring drive offers an exciting opportunity for candidates who want to build their careers in next-generation technologies and work on futuristic AI-driven industrial automation solutions. Selected candidates will receive company-provided training and the chance to work alongside development teams based on their technical skills and interview performance.

With salary packages ranging from ₹6 LPA to ₹12 LPA, this recruitment drive is a strong opportunity for graduates interested in emerging technology domains.

About the Company

Codenera is an IT training and technology-focused organization that specializes in delivering industry-oriented technical education and professional training programs for students and working professionals.

The company focuses on preparing candidates with practical skills aligned with industry demands in areas such as:

• Artificial Intelligence
• Machine Learning
• Data Science
• Automation Technologies
• Data Analytics
• Software Development

Codenera aims to bridge the gap between academic learning and real-world industry requirements through structured training and project-based learning approaches.

Hiring Domains

The recruitment drive is focused on the following technology areas:

• Artificial Intelligence (AI)
• Machine Learning (ML)
• Data Analytics (DA)
• Data Science (DS)
• Automation Technologies

Candidates may be assigned to specific teams based on their skill sets, technical performance, and interview evaluation.

Job Details

Eligible Candidates

Candidates from the following educational backgrounds can apply:

• B.E / B.Tech
• M.Tech
• BCA / MCA
• MSc
• ENTC
• Mechanical Engineering
• MBA graduates (for Data Analyst roles)

This wide eligibility range makes the opportunity suitable for candidates from both technical and analytical backgrounds.

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Roles and Opportunities

Depending on technical expertise and interview performance, candidates may work in:

• AI model development
• Machine Learning engineering
• Data Analytics projects
• Automation system development
• Data Science workflows
• Research and experimentation
• Business analytics and reporting

Candidates may also gain exposure to real-world AI implementation projects in industrial automation environments.

Key Responsibilities

Selected candidates may be responsible for:

• Working on AI and ML-based software solutions
• Assisting in automation system development
• Analyzing and processing large datasets
• Building predictive models and analytical workflows
• Collaborating with development and analytics teams
• Supporting research and innovation projects
• Learning and implementing emerging technologies
• Participating in training sessions and technical discussions

Skills Preferred

The company is likely looking for candidates with knowledge or interest in:

• Python programming
• Machine Learning concepts
• Data Analytics tools
• SQL and databases
• Statistics and Data Science fundamentals
• Automation technologies
• Problem-solving and logical thinking
• Communication and teamwork

Even candidates with beginner-level practical exposure through projects, certifications, internships, or self-learning can benefit from this opportunity.

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Salary Estimate

Codenera has officially mentioned the salary package range for this hiring drive.

Expected Compensation

• ₹6 LPA to ₹12 LPA

The final compensation may depend on:

• Technical performance
• Interview evaluation
• Skill set
• Educational background
• Domain allocation
• Practical project experience

This is considered a highly competitive package for fresh graduates entering AI, ML, and Data Science domains.

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Interview Process

The recruitment process includes four stages:

1. Online Test

Candidates may be evaluated on:

• Aptitude
• Logical reasoning
• Programming basics
• Technical fundamentals

2. Technical Round

This round may assess:

• Programming knowledge
• AI/ML fundamentals
• Project understanding
• Problem-solving ability

3. Managerial & Technical Round

Candidates may discuss:

• Teamwork
• Communication
• Project experience
• Technical approach
• Career goals

4. HR Round

The final round generally covers:

• Salary discussion
• Availability
• Work mode
• General HR interaction

Preparation Tips for Applicants

Candidates preparing for this drive should focus on:

• Python basics
• Machine Learning fundamentals
• SQL queries
• Data structures and algorithms
• Statistics basics
• Data Analytics concepts
• AI project understanding
• Communication skills

Having GitHub projects, certifications, Kaggle participation, or internship experience can strengthen your profile.

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Who Should Apply?

This opportunity is ideal for:

• Fresh graduates interested in AI and Data Science
• Students looking for industry exposure
• Candidates passionate about automation technologies
• Engineers seeking high-growth technology roles
• MBA graduates interested in analytics careers

Disclaimer: This job information is collected from official/public sources. We do not charge any fees for jobs or internships and do not guarantee recruitment or selection. Applicants are advised to verify details from the official company website or recruiter before applying.