Develop and maintain Python-based applications, scripts, and software solutions, gaining valuable backend development experience. π― About the Role This internship providesβ¦
Machine Learning Intern
- Location
- India
- Posted
- Status
- Open
About this role
Engage in the development and evaluation of machine learning solutions, applying theoretical knowledge to practical, real-world problems.
π― About the Role
This internship provides practical exposure to data preprocessing, feature engineering, model development, and evaluation for machine learning applications. You will work on hands-on projects to develop technical and analytical skills under expert mentorship.
π οΈ Key Responsibilities
- π§Ή Collect, clean, and preprocess datasets for machine learning projects.
- π Perform exploratory data analysis to understand datasets and identify patterns.
- π‘ Assist in selecting relevant features for machine learning models.
- π€ Develop and train basic machine learning models.
- π Evaluate model performance using appropriate metrics.
- π Assist in improving model accuracy and performance.
- π¨ Create visualizations to communicate analysis and model results.
- π Document experiments, methodologies, and findings.
- π Research machine learning techniques and industry practices.
- π€ Collaborate with team members on practical machine learning projects.
β Requirements & Skills
- π Currently pursuing or recently graduated in Computer Science, Data Science, AI, Statistics, Mathematics, or related field.
- π‘ Strong interest in machine learning and artificial intelligence.
- π» Basic knowledge of Python.
- π’ Understanding of statistics and data analysis concepts.
- π Familiarity with Pandas, NumPy, or Scikit-learn is preferred.
- π€ Good analytical and problem-solving skills.
- π€ Good communication and teamwork skills.
π Perks & Benefits
- π Internship Certificate.
- β Letter of Recommendation based on performance.
- π Swags and Goodies.
- π Opportunity to work on real-world machine learning projects.
- π§βπ« Practical industry exposure and mentorship.
π° Stipend: Performance-Based, up to βΉ7,500/-
β³ Duration: 3 Months
π Location: Remote
π© How to Apply
For college students only. Details not specified.
How to apply
Applications are handled on in.linkedin.com, not here. The link below opens the original posting.
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