AI Internship Program job at Marconi Research and Innovations Lab

Description

Marconi Research & Innovations Lab is seeking motivated interns to work on applied AI, machine learning, data science, software engineering, and intelligent systems projects. Interns will contribute to real-world research projects.

Duties and Responsibilities

• Learn and apply practical concepts in AI, machine learning, data science, and software engineering.
• Build, evaluate, and deploy machine learning and deep learning models. Contribute to agentic AI systems and intelligent automation workflows.
• Participate in the design and development of web applications, APIs, and software systems that integrate AI capabilities.
• Gain exposure to the infrastructure, tools, and engineering workflows that support the development, training, deployment, and maintenance of modern AI systems.

Qualifications

Open to 2nd and 3rd year undergraduate students and recent graduates in Engineering, Computer Science, Statistics, Data Science, Information Technology, or related fields. Applicants should have an interest in technology and research, strong problem-solving skills, and good programming skills, preferably in Python. Familiarity with machine learning, data analysis, software development, Git, or web development is an added advantage.

• Learn and apply practical concepts in AI, machine learning, data science, and software engineering.
• Build, evaluate, and deploy machine learning and deep learning models. Contribute to agentic AI systems and intelligent automation workflows.
• Participate in the design and development of web applications, APIs, and software systems that integrate AI capabilities.
• Gain exposure to the infrastructure, tools, and engineering workflows that support the development, training, deployment, and maintenance of modern AI systems.

• Python
• Machine learning
• Data analysis
• Software development
• Git
• Web development

• 2nd and 3rd year undergraduate students and recent graduates in Engineering, Computer Science, Statistics, Data Science, Information Technology, or related fields.
• Interest in technology and research.
• Strong problem-solving skills.
• Good programming skills, preferably in Python.
• Familiarity with machine learning, data analysis, software development, Git, or web development is an added advantage.