Intern – AI Engineer

6 days ago

Chennai, Tamil Nadu, India Kaleris Full time ₹ 1,04,000 - ₹ 13,08,780 per year

Responsibilities
Job Description:

  • Join an Agile IT team, working closely with Enterprise Applications, IT FinOps, BI, and AI team members.
  • Assist in developing and deploying AI-driven solutions to automate and optimize internal business processes (e.g., IT operations, finance, reporting).
  • Build and maintain analytic dashboards and data pipelines that empower IT and business stakeholders.
  • Collaborate with IT leaders to enhance system integrations, data quality, and reporting capabilities through AI.
  • Support design, development, and testing of internal tools using AI and automation frameworks.
  • Document workflows and assist with training materials for new solutions adopted by internal teams.
  • Stay up to date on new AI technologies and share learnings with colleagues.
  • Participate in team meetings and contribute ideas to improve operational efficiency, business intelligence, and internal system performance.
  • Help troubleshoot and resolve issues in AI-supported applications, ensuring high reliability and user satisfaction.

Requirements

  • Interest, coursework, or experience in Computer Science, Information Technology, Data Science, or related fields
  • Solid programming skills in Python (preferred), Java, or C++
  • Familiarity with AI/Machine Learning concepts and techniques
  • Experience using libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar
  • Understanding of RDBMS and SQL (Oracle, SQL Server, MySQL)
  • Strong analytical and troubleshooting abilities
  • Proactive and willing to collaborate within cross-functional IT teams
  • Strong written and verbal communication skills, with the ability to document and present progress
  • Ability to work effectively in a fast-paced, test-driven, and agile SDLC environment

Kaleris is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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