Job Description

Company : GigaSphere Inc.

Location : Remote / Hybrid (Montreal, QC)

Duration: 4–8 months (Co-op Term)

Start Date : January 1st, 2026

Type : Full-Time, Paid Co-op Internship

About GigaSphere Solutions

GigaSphere Solutions is a Canadian technology consulting firm specializing in cloud computing, artificial intelligence, data analytics, and digital transformation. We collaborate with both public and private sector organizations to deliver innovative, scalable, and data-driven IT solutions.

Our mission is to help businesses harness the power of AI, automation, and cloud technology to drive efficiency, innovation, and growth. We are offering an exciting opportunity for students to gain hands-on experience through real-world projects involving AI, data engineering, and cloud infrastructure.

Position Overview

As a Cloud & AI Intern, you will collaborate with our engineers and consultants to support AI model development, data processing, and cloud deployment projects. This role provides exposure to modern data ecosystems, cloud platforms (AWS, Azure, GCP), and AI/ML tools, ideal for students passionate about emerging technologies and practical problem-solving.

Key Responsibilities

• Assist in developing and deploying cloud-based solutions on AWS, Azure, or Google Cloud.
• Support data engineers in building data pipelines, ETL processes, and analytics dashboards.
• Participate in AI/ML model training, testing, and performance tuning.
• Conduct research on AI frameworks, automation tools, and emerging cloud technologies.
• Document findings, technical processes, and project outcomes.
• Contribute to internal innovation projects and product prototypes.

Preferred Skills & Qualifications

• Currently enrolled in Computer Science, Software Engineering, IT, or Data Analytics programs.
• Proficient in at least one programming language (e.g., Python, Java, or JavaScript etc).
• Familiarity with machine learning concepts, APIs, and cloud environments.
• Basic understanding of data modeling, databases, or visualization tools.
• Strong analytical, problem-solving, and teamwork skills.
• Good written and verbal communication.

Learning Outcomes

By the end of the internship, students will gain:

• Hands-on experience with AI model development and cloud-based systems.
• Practical understanding of data pipelines, DevOps, and cloud architectures.
• Experience working in a collaborative consulting environment.
• Strengthened technical and professional communication skills.

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