[Hiring] Artificial Intelligence with ML (Intern) @LetsIntern Career Solutions

Role Description

We are looking for a passionate and driven AI Intern to join our dynamic team. As an intern, you will have the opportunity to work on real-world projects, develop AI models, and collaborate with experienced professionals in the field. This internship is designed to provide hands-on experience in AI and machine learning, offering you the chance to contribute to impactful projects while enhancing your skills.

As an AI Intern, you will work alongside experienced data scientists and AI engineers to explore, develop, and optimize machine learning and AI algorithms. This is an exciting opportunity to gain hands-on experience with advanced AI systems, contribute to impactful projects, and grow in a fast-paced, collaborative environment.

Responsibilities

• Assist in the development and implementation of AI and machine learning models.
• Conduct research on AI algorithms, models, and techniques to improve system performance.
• Collaborate with the AI team to design experiments, gather insights, and evaluate models.
• Process and analyze large datasets to derive meaningful insights.
• Develop and test machine learning pipelines and automation processes.
• Contribute to the improvement of AI tools, frameworks, and libraries.
• Present findings and results to the team, contributing to the evolution of AI products.
• Participate in team meetings and brainstorming sessions to develop new AI features.

Qualifications

• Currently pursuing a Bachelor's or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• Strong understanding of machine learning algorithms and data structures.
• Any Graduate / Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field; Master's degree preferred.
• Proven experience in developing and implementing machine learning models and algorithms.
• Strong programming skills in languages such as Python, R, or Java.

Benefits

• Internship Certificate
• Letter of Recommendation
• Performance-Based Stipend
• Part-time work from home (2-3 hours per day)
• 5 days a week, fully flexible shift