Software Engineering

Key Responsibilities

Develop and maintain Python based applications and automation scripts.

Assist in building AI and Machine Learning solutions using modern frameworks.

Work with structured and unstructured datasets for data analysis and model training.

Support the development of Generative AI and Large Language Model (LLM) applications.

Create APIs and integrations for AI enabled solutions.

Participate in testing, debugging, and optimizing Python applications.

Collaborate with senior developers, data scientists, and business stakeholders.

Document code, processes, and technical solutions.

Stay updated with the latest advancements in AI, Machine Learning, and Python technologies.Required SkillsTechnical Skills

Basic to intermediate knowledge of Python programming.

Understanding of Object Oriented Programming (OOP) concepts.

Familiarity with data structures and algorithms.

Basic knowledge of SQL and databases.

Exposure to Machine Learning fundamentals.

Understanding of REST APIs and web services.

Knowledge of Git/version control systems.

AI/ML Knowledge

Basic understanding of:

Machine Learning concepts

Data preprocessing

Model training and evaluation

Generative AI and Large Language Models (LLMs)

Prompt Engineering

Preferred Skills

Experience with any of the following:

Pandas

NumPy

Scikit learn

TensorFlow or PyTorch

LangChain

OpenAI/Azure OpenAI Services

Streamlit or Flask

Knowledge of cloud platforms such as Azure, AWS, or GCP.

Exposure to Power BI or data visualization tools.

Educational Qualifications

Bachelor's degree (or pursuing final year) in:

Computer Science

Information Technology

Artificial Intelligence

Data Science

Electronics & Communication

Related engineering disciplines

Soft Skills

Strong analytical and problem solving abilities.

Good communication and collaboration skills.

Eagerness to learn new technologies.

Ability to work independently and within a team.

Attention to detail and commitment to quality.Learning Opportunities

During the apprenticeship, the candidate will gain hands on experience in:

Python Application Development

Machine Learning & Deep Learning

Generative AI & LLM Solutions

AI Agents and Automation

Cloud Based AI Services

API Development & Integration

Real world Enterprise AI Projects

Success Criteria

By the end of the apprenticeship, the candidate should be able to:

Build production ready Python applications.

Develop and deploy AI powered solutions.

Create data pipelines and automation workflows.

Integrate AI services with enterprise applications.

Contribute effectively to software development and AI projects.

Experience Required: Freshers / 0 1 Year

Your future duties and responsibilities

Required Qualifications To Be Successful In This Role

Together, as owners, let’s turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals.

Come join our team—one of the largest IT and business consulting services firms in the world.