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Job Description
Job Title: AI/ML Intern
Location: Remote
Duration: 4 Months
Type: Internship (Full-time)
Stipend: Unpaid / No Stipend
About the RoleWe are looking for a passionate and curious AI/ML Intern to join our team. You will work closely with our Data Science and Engineering teams to develop, train, and deploy machine learning models that solve real-world problems. This internship 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 the development, training, and evaluation of 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 and 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.
- Strong understanding of machine learning concepts, including supervised and unsupervised learning.
- Experience with Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
- Basic understanding of data preprocessing, feature engineering, and model evaluation.
- Familiarity with Git/GitHub.
- Strong analytical and problem-solving skills.
- Ability to learn quickly and work collaboratively.
- Currently pursuing or recently completed a Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
- Hands-on experience building and deploying AI/ML models.
- Mentorship from experienced ML engineers and data scientists.
- Opportunity to contribute to impactful AI projects.
- Certificate of Completion and potential full-time opportunity based on performance.
Skills
Artificial IntelligencePythonData AnalysisData ScienceDeep LearningMachine LearningAi/mlAiMlModel EvaluationPytorchTensorflowScikit-learnNumpyPandasFeature EngineeringIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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