Job Description
JOB DESCRIPTION
Job Title: AI/ML Intern
Location: Remote
Duration: 4 months
Type: Internship (Full-time)
Stipend: No Stipend/ Unpaid
About the Role
We are looking for a passionate and curious AI/ML Intern to join our team. You'll work closely with our data science and engineering teams to design, train, and deploy machine learning models that solve real-world problems. This role offers hands-on experience with modern AI tools, datasets, and production environments.
Key Responsibilities
Assist in collecting, cleaning, and preprocessing structured and unstructured data.
Support in developing, training, and evaluating machine learning and deep learning models.
Research and implement algorithms for prediction, classification, and optimization tasks.
Collaborate with software engineers to integrate ML models into applications or APIs.
Perform exploratory data analysis (EDA) to extract actionable insights.
Document findings, experiments, and model performance.
Stay updated with the latest AI/ML research, frameworks, and best practices.
Required Skills
Strong understanding of machine learning concepts (supervised, unsupervised learning, etc.).
Hands-on experience with Python and libraries like NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
Basic understanding of data preprocessing, feature engineering, and model evaluation.
Familiarity with version control (Git/GitHub).
Good analytical and problem-solving skills.
Ability to learn quickly and work in a collaborative environment.
Preferred Skills (Nice to Have)
Experience with NLP, computer vision, or generative AI.
Familiarity with FastAPI, Flask, or any API integration frameworks.
Knowledge of cloud platforms (AWS, GCP, or Azure) or MLOps tools.
Exposure to SQL/NoSQL databases.
Educational Qualifications
Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
What You'll Gain
Real-world exposure to building and deploying AI models.
Mentorship from experienced ML engineers and data scientists.
Opportunity to contribute to impactful AI projects.
Certificate of completion and potential full-time offer (based on performance).
