We are looking for AI/ML Interns who are enthusiastic about working with data, building predictive models, and solving complex problems. As an intern, you will gain hands-on experience in machine learning, deep learning, and AI model development while collaborating with experienced professionals.
Key Responsibilities:
Develop, train, and optimize machine learning models.
Work with large datasets to extract meaningful insights and patterns.
Implement and test AI models to improve performance and accuracy.
Collaborate with data scientists and engineers to integrate models into production.
Research and experiment with state-of-the-art AI/ML techniques and tools.
Document processes, results, and improvements.
Requirements:
Pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
Strong programming skills in Python (knowledge of libraries like TensorFlow, PyTorch, Scikit-learn, etc.).
Solid understanding of machine learning algorithms and neural networks.
Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
Experience with handling large datasets and data visualization.
Strong analytical and problem-solving skills.
Excellent communication and teamwork abilities.
What We Offer:
Monthly stipend of ?20,000.
Duration:
6 Months
Mode:
Work from Office
Opportunity to work on real-world AI/ML projects.
Mentorship from experienced AI/ML professionals.
Potential for a full-time position based on performance.
Job Type: Internship
Contract length: 6 months
Pay: ?20,000.00 per month
Work Location: In person
Expected Start Date: 01/05/2025
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Job Detail
Job Id
JD3655991
Industry
Not mentioned
Total Positions
1
Job Type:
Contract
Salary:
Not mentioned
Employment Status
Permanent
Job Location
HR, IN, India
Education
Not mentioned
Experience
Year
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Beware of fraud agents! do not pay money to get a job
MNCJobsIndia.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.