Job Title - Data & AI Apprentice (Freshers)
Location: Pune, India (Work from Office)
Role Type: Apprenticeship / Fresher Entry Role
Experience: 0–1 year (Freshers can apply)
Role Summary
You will work with the Data & AI team on real projects.
You will support data engineering, analytics, and AI/GenAI/Agentic AI tasks.
You will learn tools, follow coding standards, and deliver assigned work on time.
Required Qualifications:
Education
- Bachelor’s degree: B.E./B. Tech/MCA
Preferred streams: Computer Science / IT / AI / Data Science or related.
Must-Have Skills (Non-Negotiable)
- Python: basic to good hands-on (functions, loops, files, debugging).
- SQL: strong basics (joins, group by, subqueries, filtering).
- Basic understanding of:
- data types, arrays/lists, dictionaries
- error handling and debugging
- writing logical steps to solve a problem
Data Handling
- Familiarity with:
- Pandas, NumPy
- data cleaning and transformations
- Understanding of relational database concepts:
- tables, keys, relationships
Soft Skills
- Good problem-solving mindset and learning attitude.
- Clear communication and teamwork.
- Able to work from office and follow timelines.
Preferred Skills (Good to Have)
- Any hands-on exposure to AI/ML or GenAI/Agentic AI through project/internship:
- chatbot, LLM, NLP, analytics, automation
- Basics of ML libraries or GenAI frameworks:
- scikit-learn, TensorFlow, PyTorch
- Hugging Face, LangChain (basic awareness is fine)
- Basic cloud / data tools awareness (any one is fine):
- Azure Data Factory, Databricks, Power BI
- AWS basics is also ok
- APIs basics (REST) and JSON understanding.
- Participation in:
- hackathons, Kaggle, college research projects, GitHub projects
What You Will Do (Responsibilities)
Data Work (Python + SQL)
- Write SQL queries to extract, join, and validate data.
- Do data cleaning and preparation using Python (Pandas, NumPy).
- Support building datasets for reporting and dashboards.
- Perform basic data checks like duplicates, missing values, and reconciliation.
AI / GenAI Support (Basics)
- Support small tasks in AI/ML or GenAI use cases.
- Help in prompt testing, dataset preparation, and response evaluation.
- Work on simple POCs like:
- chatbot flow
- document Q&A
- classification or prediction model support
- Document learning and results clearly.
Engineering Discipline (Important)
- Learn and follow coding standards and review comments.
- Use Git/GitHub for code updates and version control.
- Write clean, readable code with basic unit checks where required.
- Create simple technical notes and user guides.
Team Collaboration
- Work with seniors in agile teams (daily updates, task boards, sprint work).
- Ask questions early when blocked.
- Communicate progress clearly with leads.