AI/ML

• 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. Youll 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 Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• What Youll 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).