CGI Recruitment 2026 – Python AI Apprentice
CGI
Experience0–1 Year
QualificationB.E/B.Tech/B.Sc
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 analysis and model training.
- Support the development of Generative AI and Large Language Model applications .
- Create APIs and integrations for AI-enabled solutions.
- Participate in testing, debugging and optimization of Python applications.
- Collaborate with senior developers, data scientists and business stakeholders.
- Document code, development processes and technical solutions.
- Stay updated with developments in AI, Machine Learning and Python technologies.
- Contribute to enterprise AI and automation projects.
Skills & Eligibility
- Candidates interested in the CGI Recruitment 2026 opportunity should meet the following eligibility criteria:
- Bachelor’s degree or final-year qualification in a relevant technical discipline.
- Relevant fields include Computer Science, Information Technology, Artificial Intelligence, Data Science, Electronics & Communication and related engineering disciplines.
- Freshers and candidates with up to 1 year of experience can apply.
- Basic to intermediate knowledge of Python programming .
- Understanding of Object-Oriented Programming 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 or version-control systems.
- Strong analytical and problem-solving skills.
- Good communication and collaboration abilities.
- Willingness to learn new technologies and work on AI-focused projects.
- The role combines software development fundamentals with Artificial Intelligence and Machine Learning skills.
- Python: Basic to intermediate programming knowledge.
- Object-Oriented Programming: Understanding of classes, objects, inheritance and other OOP concepts.
- Data Structures & Algorithms: Familiarity with fundamental programming problem-solving techniques.
- SQL: Basic knowledge of databases and SQL queries.
- Machine Learning: Understanding of basic machine learning concepts, preprocessing, training and evaluation.
- Generative AI: Familiarity with generative AI and Large Language Models.
- Prompt Engineering: Basic understanding of creating effective prompts for AI systems.
- REST APIs: Understanding of API development and integrations.
- Git: Familiarity with source control and collaborative development.
- Candidates with exposure to the following technologies may have relevant practical experience for the role:
- Scikit-learn
- OpenAI / Azure OpenAI Services
- AWS, Azure or Google Cloud Platform
- Power BI and other data visualization tools
- Candidates should have or be pursuing a bachelor’s degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Electronics & Communication or a related engineering discipline.
- Key skills include Python, OOP, data structures and algorithms, SQL, Machine Learning, Generative AI, LLMs, REST APIs and Git . Exposure to frameworks such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch or LangChain is beneficial.
Note: This job is posted on external sites. Joblit shares the listing for convenience and does not take responsibility for third-party content.
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