Graduate Trainee Engineer

Team: Data & AI Type: Full-Time | Entry-Level (Fresher) About the Role 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 Engineer, 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:& & 1.& & & & & & Strong programming skills in Python with ability to write modular and maintainable code 2.& & & & & & Solid understanding of data structures, algorithms, and computational logic 3.& & & & & & Clear grasp of software engineering fundamentals version control (Git), testing, debugging, and modular design 4.& & & & & & Ability to reason through problems, optimize code, and implement practical solutions 5.& & & & & & Good communication skills and ability to work collaboratively in a team setting 6.& & & & & & 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. Criteria: - Selected Candidates need to sign 3 years Bond

Job Profile : Graduate Trainee Engineer
Industry : Core-Technical