Apprentice – AI at CGI India – Chennai | Python & Machine Learning | 2025 Batch

Apprentice – AI at CGI India – Chennai | Python & Machine Learning (2025 Batch)

CGI is hiring Apprentices in Artificial Intelligence for fresh graduates from the 2025 batch. This is an outstanding opportunity to launch your career in AI and machine learning with one of the largest IT and business consulting services firms globally. Based in Chennai, Tamil Nadu, this full-time role offers immediate exposure to innovative AI solutions, Python development, and enterprise-level projects with comprehensive training and mentorship.

About CGI – Leading Global IT and Consulting Powerhouse

CGI stands as one of the largest IT and business consulting services firms in the world, with a presence across multiple continents and a diverse portfolio of industry-leading clients. The company is built on core values of ownership, teamwork, respect, and belonging, creating a work environment where fresh graduates and experienced professionals alike can thrive and grow.

CGI partners (employees) are treated as owners from day one, actively shaping company strategy and direction while benefiting from collective success. The organization is renowned for developing innovative solutions, building strong client relationships, and leveraging global capabilities to deliver transformative technology solutions. With operations spanning finance, healthcare, government, telecommunications, and numerous other sectors, CGI provides exposure to diverse technologies and business domains.

The company’s commitment to professional development, employee well-being, and career growth makes it an ideal launching pad for tech graduates eager to build careers in cutting-edge technologies like Artificial Intelligence and Machine Learning.

Apprentice – AI Role Overview

The Apprentice – AI position at CGI represents a structured entry-level opportunity designed specifically for 2025 batch graduates interested in artificial intelligence and machine learning. This full-time apprenticeship combines hands-on project work with comprehensive training, mentorship, and exposure to enterprise-level AI implementations.

As an Apprentice in AI, you’ll work alongside experienced AI engineers and data scientists, contributing to real AI projects while developing expertise in machine learning algorithms, Python programming, and practical AI applications. The role is not limited to a standard 9-to-5 schedule; you should be prepared for shifts and extended working hours, which is typical in dynamic consulting environments where project demands vary based on client needs.

This apprenticeship is an investment in your professional development. CGI provides the infrastructure, mentorship, and real-world project exposure necessary to transition from academic learning to industry-ready AI professionals.

Eligibility Criteria and Educational Requirements

Educational Qualification:

• Bachelor of Technology (BTech) degree required

• Any engineering discipline acceptable, though computer science, electronics, electrical engineering, or information technology backgrounds are ideal

• 2025 batch graduates (current cohort)

Communication Skills:

• Excellent written communication skills essential for documentation, technical reports, and client communication

• Excellent oral communication skills required for team collaboration, presentations, and stakeholder discussions

• Ability to articulate complex technical concepts in clear, understandable language

Professional Mindset:

• Willingness to work in roles involving shifts and extended hours

• Flexibility to adapt to project-based work schedules

• Commitment to learning and professional development

Required Technical Skills for Apprentice – AI

Artificial Intelligence (AI) Fundamentals:
Strong foundational knowledge of AI concepts is essential. You should understand artificial intelligence principles, applications, and limitations. Familiarity with AI’s role in modern enterprise solutions, understanding of intelligent automation, and knowledge of AI ethics and responsible AI practices are valuable additions to your profile.

Machine Learning (ML) Expertise:
Comprehensive understanding of machine learning is a core requirement. This includes knowledge of supervised learning algorithms (regression, classification), unsupervised learning techniques (clustering, dimensionality reduction), and model evaluation metrics. You should be able to understand when to apply different ML algorithms and how to evaluate model performance effectively.

Python Programming:
Python is the primary programming language for this role. You should have solid Python programming skills including:

• Core Python fundamentals (data types, control structures, functions, object-oriented programming)

• Popular AI/ML libraries: NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Matplotlib

• Data manipulation and preprocessing using Python

• Writing clean, efficient, and well-documented code

• Experience with Jupyter notebooks and Python IDEs

Data Analysis and Data Manipulation:
Ability to work with datasets, perform exploratory data analysis (EDA), data cleaning, feature engineering, and data visualization. Understanding of databases and ability to query data are increasingly important in AI roles.

Problem-Solving and Analytical Thinking:
Strong analytical thinking, logical reasoning, and problem-solving abilities are crucial. You should be comfortable breaking down complex AI problems into manageable components and developing solutions incrementally.

Key Responsibilities of Apprentice – AI

AI Project Contribution:
You’ll actively contribute to real AI and machine learning projects. This might include working on machine learning models, data preprocessing, feature engineering, model training, and evaluation tasks that directly impact project deliverables.

Python Development and Implementation:
Write and optimize Python code for AI and ML applications. You’ll develop scripts, modules, and applications that implement machine learning algorithms and process data efficiently.

Model Development and Training:
Participate in building and training machine learning models. You’ll work with various datasets, experiment with different algorithms, and evaluate model performance using appropriate metrics.

Data Analysis and Exploration:
Conduct exploratory data analysis to understand data patterns, identify insights, and prepare data for machine learning pipelines. This includes data visualization and communicating findings to team members.

Collaboration with Senior Engineers:
Work closely with experienced AI engineers and data scientists, learning best practices, design patterns, and industry standards. This mentorship accelerates your professional growth significantly.

Documentation and Reporting:
Document code, model development processes, and findings clearly. Prepare technical reports and communicate progress to team members and stakeholders using written and oral communication.

Continuous Learning:
Actively pursue skill development through training sessions, workshops, and self-directed learning. Stay updated with latest AI/ML technologies and industry trends.

Apprentice – AI Job Overview Table

Why CGI Values and Company Culture

Ownership Mindset from Day One:
At CGI, you’re treated as an owner, not just an employee. From your first day as an apprentice, you’re invited to contribute ideas, shape your work, and actively participate in team decisions. This ownership culture fosters motivation, accountability, and professional growth.

Teamwork and Collaboration:
CGI emphasizes teamwork and mutual respect. You’ll work alongside talented professionals from diverse backgrounds, learning from their expertise while contributing your fresh perspectives and energy. The collaborative environment accelerates learning and builds strong professional relationships.

Global Capabilities and Scale:
With operations worldwide, CGI provides access to global expertise, resources, and opportunities. As an apprentice, you’ll benefit from this scale—learning from international best practices, potentially working on projects with global teams, and understanding how solutions scale across different markets and industries.

Respect and Belonging:
The company culture emphasizes respect for all team members and creating a sense of belonging. This inclusive environment ensures that fresh graduates feel valued, supported, and encouraged to contribute meaningfully from the start.

Meaningful Work Creating Value:
Your work at CGI isn’t just about coding or implementing algorithms. You’ll develop solutions that create real business value, solve actual client problems, and contribute to enterprise transformation. This sense of purpose makes work more fulfilling and motivating.

How to Apply for Apprentice – AI Position at CGI

Step 1: Access CGI Careers Portal
Navigate to the official CGI careers website or the njoyn portal. Search for the Apprentice – AI position (Position ID: J0825-0790) for the Chennai location.

Step 2: Review Job Details
Carefully read the complete job description, eligibility criteria, and responsibilities. Ensure you meet the educational requirements (BTech) and possess the necessary technical skills (AI, ML, Python).

Step 3: Create or Sign In to Your Profile
Create a new profile on the CGI careers portal or sign in with your existing credentials. Fill in your personal information, educational background, and work experience accurately.

Step 4: Complete the Application Form
Submit the online application form with detailed information about your education, skills, projects, and internships. Highlight any AI, ML, or Python-related coursework, projects, or practical experience you have.

Step 5: Prepare for the Selection Process
After applying, be prepared for the selection process, which typically includes technical assessments, coding tests, and interviews assessing your Python skills, AI/ML knowledge, and communication abilities.

Step 6: Activate Career Alerts
Consider activating career alerts to receive notifications about similar AI and software development opportunities at CGI. This keeps you informed about additional roles that match your interests.

Apply Link – CGI

Skills Development Guide for Apprentice – AI Success

Build Strong Python Foundation:
If your Python skills need strengthening, practice coding on platforms like LeetCode, HackerRank, or CodeChef. Focus on data structures, algorithms, and writing clean, efficient code. Complete Python projects that involve data manipulation and visualization.

Learn Core Machine Learning Algorithms:
Study fundamental ML algorithms including linear regression, logistic regression, decision trees, random forests, support vector machines (SVM), K-means clustering, and neural networks. Understand the mathematics behind these algorithms and when to apply each.

Master ML Libraries:
Gain hands-on experience with Scikit-learn for traditional machine learning, TensorFlow or PyTorch for deep learning, NumPy and Pandas for data manipulation, and Matplotlib/Seaborn for visualization.

Work on Real AI/ML Projects:
Contribute to or build personal AI/ML projects. Work with public datasets from Kaggle, UCI ML Repository, or Google Datasets. Document your projects and add them to your portfolio.

Understand Data Science Fundamentals:
Learn data preprocessing, exploratory data analysis (EDA), feature engineering, and model evaluation. Data quality and preparation often consume significant time in real AI projects, so understanding these aspects is crucial.

Develop Communication Skills:
Practice explaining technical concepts in simple terms. Write clear documentation for your code and projects. Practice presenting your work to others—these skills are essential for the apprenticeship role.

Study Enterprise AI Applications:
Research how AI and ML are applied in real business scenarios across different industries. Understand common use cases like predictive analytics, recommendation systems, natural language processing, and computer vision.

Prepare for Technical Interviews:
Review common interview questions about AI/ML concepts, Python coding problems, and project discussions. Practice explaining your projects, technical decisions, and learning outcomes clearly.

Career Growth Path After Apprenticeship

The Apprentice – AI role at CGI is a stepping stone to advanced careers in artificial intelligence and data science. After successfully completing the apprenticeship and contributing to projects, you can progress to roles such as:

• AI/ML Engineer: Developing and deploying machine learning models in production environments

• Data Scientist: Combining AI, statistics, and business acumen to solve complex problems

• AI Solutions Architect: Designing AI solutions tailored to client requirements

• Machine Learning Engineer: Building scalable ML systems and platforms

• AI Consultant: Advising clients on AI strategy and implementation

• Research Scientist: Contributing to cutting-edge AI research and innovation

• Technical Lead/Manager: Leading AI teams and projects at enterprise scale

CGI’s commitment to professional development ensures structured growth, mentorship, and opportunities to deepen expertise in AI and related technologies.

What to Expect from CGI as an Apprentice

Structured Training Program:
CGI invests in comprehensive training for apprentices. You’ll receive formal training on company processes, technologies, and business domains. Beyond formal training, you’ll learn continuously through project work and mentorship.

Mentorship and Guidance:
Experienced AI engineers and team leads will mentor you, providing guidance on technical challenges, career development, and professional growth. This mentorship relationship is invaluable for accelerating your development.

Real Project Experience:
Unlike typical internships, apprenticeships at CGI involve real project responsibilities. You’ll contribute to actual client deliverables, work with production systems, and understand how AI solutions are deployed at enterprise scale.

Exposure to Diverse Technologies:
CGI works with various technologies, platforms, and tools across different domains. You’ll gain exposure to this diversity, expanding your technical knowledge and understanding of how different technologies fit together.

Collaborative Work Environment:
You’ll work in teams with people of different backgrounds, experiences, and expertise. This collaborative environment fosters learning, innovation, and the development of soft skills essential for career success.

Performance Feedback and Growth:
Regular feedback and performance reviews help you understand your progress, strengths, and areas for development. CGI supports continuous improvement and skill enhancement.

Frequently Asked Questions About Apprentice – AI Role

Q: Is this role only for 2025 batch graduates?
A: The position is designed for 2025 batch BTech graduates. If you’re from a different batch or education background, check with CGI about eligibility.

Q: Do I need prior AI/ML project experience?
A: While not strictly required, having completed AI/ML projects during coursework or internships strengthens your application. Strong Python programming skills and conceptual understanding of AI/ML are essential.

Q: What does “ready to work shifts and extended hours” mean?
A: Consulting and IT services projects often have varying demands. You may need to work beyond standard 9-to-5 hours during project-intensive phases. This is typical in the consulting industry.

Q: Will I work only on AI projects?
A: As an apprentice, you’ll primarily work on AI/ML projects. However, depending on project requirements and business needs, you might be exposed to other technologies or project types.

Q: What’s the work-life balance like at CGI?
A: CGI emphasizes employee well-being and health. While certain periods might involve extended hours, the company supports work-life balance through flexible arrangements, wellness programs, and supportive management.

Q: Is relocation to Chennai required?
A: The position is based in Chennai, Tamil Nadu. You should clarify relocation policies and support with CGI during the application process.

Q: What happens after the apprenticeship period?
A: CGI typically converts high-performing apprentices to regular positions with appropriate titles and compensation. The apprenticeship is often a pathway to permanent employment.

Q: Can I apply if I have AI knowledge but limited Python experience?
A: Python is a core requirement for this role. If your Python skills are limited, invest time in strengthening them before applying. Prioritize Python learning as it’s essential for the role.

Important Notes for Applicants

NOTE: Act fast! The Apprentice – AI position at CGI is highly competitive. With one of the world’s largest IT and consulting firms actively hiring, this opportunity attracts thousands of candidates from across India. The Chennai location is particularly popular, with many graduates targeting this role.

Don’t delay your application—complete your profile registration, gather all necessary documents, and prepare thoroughly for technical assessments and interviews. The sooner you apply, the earlier your profile reaches the recruitment team. With fresh opportunities constantly emerging, positions can fill quickly, especially for sought-after technology domains like AI and Machine Learning.

Ensure your portfolio includes AI/ML projects, your resume highlights Python expertise and relevant coursework, and you’re prepared to discuss your technical knowledge and career aspirations during interviews. The competition is significant, so make your application stand out with concrete evidence of your AI and machine learning capabilities.