What are the responsibilities and job description for the AI/ML Engineer Intern position at Aivra Health LLC?
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)
Salary : $140,000 - $190,000