AI/ML Engineering Intern

About the Role

• AI/ML Engineering Intern role for a 3-month internship (with potential for extension).
• Contribute to research and engineering efforts remotely from India.
• Work directly with senior engineers and researchers on active projects.
• Gain hands-on experience with production ML systems and hybrid AI architectures.

Key Responsibilities

• Support the design and implementation of machine learning models under the guidance of senior engineers.
• Conduct experiments, analyze results, and document findings.
• Assist in building and maintaining data pipelines and preprocessing workflows.
• Contribute to codebase improvements, testing, and documentation.
• Participate in team meetings, code reviews, and technical discussions.

Requirements & Tech Stack

• Proficiency in Python.
• Familiarity with ML libraries such as PyTorch or TensorFlow.
• Experience with data preprocessing and dataset management.
• Experience with version control (Git) and collaborative development workflows (Preferred).

Qualifications

• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, or a related field.
• Foundational knowledge of machine learning concepts, statistical modeling, and data structures.
• Strong analytical and problem-solving skills.
• Clear written and verbal communication skills in English.
• Ability to work independently in a remote environment while meeting deadlines.
• Prior experience contributing to AI/ML research projects or open-source repositories (Preferred).
• Familiarity with hybrid AI approaches, generative models, or symbolic AI (Preferred).

Note: This is a paid internship. Duration: 3-6 months, with the possibility of extension.