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We’re hiring fresh graduates to join our Data & AI team, which powers core functions across the organization — from analytics and automation to AI/ML systems and engineering pipelines.
As a Graduate Trainee, you will begin by contributing to foundational development work spanning AI/ML, data workflows, automation, and internal tooling — primarily using Python. You will be working across multiple focus areas within the Data & AI team, including:
- AI/ML – supporting model development, data preparation, and deployment workflows
- Analytics & Reporting – enabling insights through dashboards, reporting tools, and data aggregation
- Automation – building scripts and utilities to streamline and optimize operations
- Data Engineering / DevOps / MLOps – contributing to data infrastructure, deployment pipelines, and scalable systems
Must-Have Skills:
- Strong programming skills in Python with ability to write modular and maintainable code
- Solid understanding of data structures, algorithms, and computational logic
- Clear grasp of software engineering fundamentals – version control (Git), testing, debugging, and modular design
- Ability to reason through problems, optimize code, and implement practical solutions
- Good communication skills and ability to work collaboratively in a team setting
- Eagerness to continuously learn and adapt to evolving tools, stacks, and requirements
Nice-to-Have:
- Exposure to data analysis libraries or scientific computing (e.g., pandas, NumPy, matplotlib, Py-Torch, Tensor-flow, SK-Learn)
- Basic understanding of machine learning principles or experience with small academic projects
- Familiarity with cloud platforms (AWS/GCP/Azure), APIs, or containerization (Docker)
- Awareness of analytics tools (e.g., Power BI, Tableau), dashboards, or reporting pipelines
- Experience with automation scripts, data wrangling, or internal tooling
- Basic understanding of DevOps or MLOps workflows and CI/CD pipelines
Eligibility
BE/B.Tech or equivalent –2025 pass-outs
Academic background in CS / IT / ECE / EE / Math or other technical fields
What You’ll Work On
- Development of internal tools and automation pipelines
- Data transformation, processing, and system integration scripts
- APIs and components that support analytics, reporting, or ML workflows
- Exposure to real-world projects across AI, automation, engineering, and reporting
What You’ll Gain
- Practical experience across the full spectrum of modern data and AI workflows
- Growth opportunities into multiple tracks – AI/ML, Analytics, Automation, and Engineering
- Mentorship, code reviews, and exposure to best practices in design and development
- A foundation for long-term roles like Data Engineer, ML Engineer, AI Developer, or Platform Engineer
Selection Process
- Coding Assessment: Candidates will be given a problem sheet to solve, focused on programming in python, data structures, and logic.
- Technical Rounds: Shortlisted candidates will go through technical discussions assessing problem-solving skills, code understanding, and fundamentals.
- HR Round: Final interaction to assess fit and alignment with the team culture and values.
