Job Description
Job Title: Machine Learning & AI Intern
Duration: 3–6 Months
Location: Chennai
Job Description:
We are seeking passionate Machine Learning & AI Interns with a strong interest in Artificial Intelligence, Machine Learning, and related modules. Interns will work on real-time projects involving data-driven models and AI-powered solutions under expert mentorship.
Roles & Responsibilities:
- Work on AI and ML model development and implementation
- Perform data preprocessing, feature engineering, and analysis
- Implement and test machine learning algorithms
- Assist in building AI modules such as NLP, Computer Vision, and Predictive Analytics
- Evaluate model performance and fine-tune results
- Support integration of AI/ML modules into applications
- Prepare documentation and project reports
Required Skills:
- Basic knowledge of Artificial Intelligence (AI) and Machine Learning (ML)
- Understanding of ML algorithms: Linear Regression, Logistic Regression, Decision Trees, Random Forest, SVM
- Knowledge of AI/ML modules such as:
- Natural Language Processing (NLP)
- Computer Vision
- Recommendation Systems
- Predictive Modeling
- Proficiency in Python
- Familiarity with libraries: Num Py, Pandas, Scikit-learn
- Basic understanding of statistics and data analysis
Duration: 3–6 Months
Location: Chennai
Job Description:
We are seeking passionate Machine Learning & AI Interns with a strong interest in Artificial Intelligence, Machine Learning, and related modules. Interns will work on real-time projects involving data-driven models and AI-powered solutions under expert mentorship.
Roles & Responsibilities:
- Work on AI and ML model development and implementation
- Perform data preprocessing, feature engineering, and analysis
- Implement and test machine learning algorithms
- Assist in building AI modules such as NLP, Computer Vision, and Predictive Analytics
- Evaluate model performance and fine-tune results
- Support integration of AI/ML modules into applications
- Prepare documentation and project reports
Required Skills:
- Basic knowledge of Artificial Intelligence (AI) and Machine Learning (ML)
- Understanding of ML algorithms: Linear Regression, Logistic Regression, Decision Trees, Random Forest, SVM
- Knowledge of AI/ML modules such as:
- Natural Language Processing (NLP)
- Computer Vision
- Recommendation Systems
- Predictive Modeling
- Proficiency in Python
- Familiarity with libraries: Num Py, Pandas, Scikit-learn
- Basic understanding of statistics and data analysis
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