Machine Learning Intern

Job Title: Machine Learning Intern (Paid)

Company: FusionEdge

Location: Remote

Duration: 3 Months

Stipend: 10,000 per month

Opportunity: Internship Certificate + Performance-based Full-Time Role

About FusionEdge:

FusionEdge is a next-generation technology and career-development company focused on empowering students, professionals, and businesses with the skills, tools, and solutions needed to thrive in the digital era. We blend innovation, industry expertise, and practical learning to create outcomes that truly matter.

Role Overview:

FusionEdge is looking for enthusiastic learners ready to take their first step into the world of Artificial Intelligence and Machine Learning. This role is ideal for individuals who want hands-on experience with real datasets, industry projects, and expert mentorship.

Key Responsibilities:

• Support in building and optimizing ML models for active projects
• Prepare and transform raw data into usable formats
• Assist in experiments and research activities related to AI/ML
• Monitor model performance and participate in improvement cycles
• Work with the engineering and data teams to understand workflows
• Help maintain clear documentation across project stages

Required Skills:

• Basic familiarity with Python programming
• Understanding of machine learning fundamentals such as supervised and unsupervised learning
• Experience or comfort with libraries like Pandas, NumPy, and Scikit-learn
• Interest in data visualization tools and analytical thinking
• A proactive mindset and eagerness to learn

Perks & Benefits:

• Monthly stipend: 10,000
• Internship completion certificate
• Mentorship from experienced ML engineers and data scientists
• Hands-on experience with real datasets and live industry projects
• Opportunity for a full-time position based on performance

How to Apply:

Submit your application with Machine Learning Intern Application as the subject.

Deadline: 5th December 2025

Note: FusionEdge is an equal opportunity employer, welcoming diverse applicants.