Job Description
Job Title -Data AI Apprentice (Freshers)
Location:Pune, India (Work from Office)
Role Type:Apprenticeship / Fresher Entry Role
Experience:01 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
- Bachelors 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 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)
- WriteSQL queriesto extract, join, and validate data.
- Do data cleaning and preparation usingPython (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 QA
- classification or prediction model support
- Document learning and results clearly.
Engineering Discipline (Important)
- Learn and followcoding standardsand review comments.
- UseGit/GitHubfor 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.
Relocation Supported: Yes
Visa Sponsorship Approved: No
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Platform Engineer
Employement Type: Freshers
Contact Details:
Company: Fujitsu
Location(s): Pune
Keyskills:
debugging
sprint
numpy
sql
qa
analytics
tensorflow
git
automation
data science
use cases
pytorch
json
azure
chatbot
rest
python
github
ai
databricks
power bi
llm
data engineering
pandas
nlp
data cleaning
agile
aws