AI/ML Engineer Intern

Location: New York, NY, USA (Hybrid/On-site/Remote)

Job Type: Internship (Full-Time / Part-Time)

Duration: 3–6 Months (Extendable)

About the Role

We are looking for a motivated AI/ML Engineer Intern to join our engineering team. You will work on developing, training, and deploying machine learning models while collaborating with experienced engineers on real-world AI applications. This internship offers hands-on experience in data processing, model development, and AI-driven software solutions.

Key Responsibilities

• Assist in developing and deploying Machine Learning models.
• Collect, clean, and preprocess datasets for model training.
• Train, evaluate, and optimize ML models.
• Work with supervised and unsupervised learning algorithms.
• Develop and integrate AI solutions into web applications.
• Build and maintain data pipelines.
• Collaborate with Software Engineers and Data Scientists.
• Document experiments, model performance, and technical findings.

Required Qualifications

• Pursuing a Bachelor''s or Master''s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
• Knowledge of Python programming.
• Understanding of Machine Learning fundamentals.
• Familiarity with Data Structures & Algorithms.
• Knowledge of statistics and probability.
• Basic understanding of SQL.
• Strong analytical and problem-solving skills.
• Good communication and teamwork abilities.

Preferred Skills

• Python
• TensorFlow
• PyTorch
• Scikit-learn
• Pandas
• NumPy
• OpenCV
• NLP fundamentals
• Deep Learning
• Computer Vision
• Generative AI
• AWS, Azure, or Google Cloud
• Git & GitHub

What You''ll Gain

• Hands-on experience building AI solutions.
• Mentorship from AI/ML professionals.
• Exposure to production ML workflows.
• Opportunity for a full-time AI/ML Engineer role based on performance.
• Professional networking opportunities.
• Internship certificate and recommendation letter (performance-based).

Eligibility

• Students graduating in 2026 or 2027 are encouraged to apply.
• GPA of 3.0/4.0 or above preferred but not required.
• Must be authorized to work in the United States or require sponsorship, if applicable.

Benefits

• Flexible work schedule
• Mentorship program
• Learning & development opportunities
• Networking events
• Paid holidays (as per company policy)
• Potential Pre-Placement Offer (PPO)