Machine Learning Intern
AzimuthForge
IndiaFresher1h agovia LinkedIn
Posted 14 Nov 2026, 13:29 IST
This job at a glance
- Who can apply
- Freshers and up to 1 year · BCA, MCA, B.Sc or B.Com
- Must know
- Machine learningPythonscikit-learnPandasData analysis
- Work
- On-site in India · internship
- Pay
- Not stated by the employer.
- Skill demand
- Machine learning94%Python86%scikit-learn42%Pandas30%of 99 similar fresher jobs posted in India this week
- Listed
- 14 Nov 2026 · still open
Sign in free to see which of these skills your resume already shows.
About the Role
This internship focuses on hands-on learning through live data science tasks, analytical workflows, and business problem-solving. You will work on real-world datasets, machine learning workflows, and business insight generation while gaining practical experience in analytics.
Key Responsibilities
- Work with datasets using Python, Pandas, and Scikit-learn
- Perform data analysis, cleaning, and machine learning tasks
- Generate business insights from structured and unstructured data
- Build analytical models and data science pipelines
- Support data science and analytics workflows
Internship Details
- Remote
- Recommended Duration: 3 Months
- Practical exposure to data science workflows and business datasets
- Stipend: Rs. 7500
Growth Opportunities
- Exposure to live client or internal data science projects
- Advanced ML and analytics project opportunities
- Long-term data science opportunities for strong performers
- Mentorship on real-world data science and analytics workflows
Perks & Benefits
- Internship Completion Certificate
- Practical data science and analytics experience
- Portfolio and resume building opportunities
- Exposure to Python, ML, data science, and analytics tools
Eligibility Criteria
- Freshers and students can apply
- BCA / B.Sc / B.Com / MCA students or graduates
- Basic knowledge of Python, data science, or analytical thinking
- Interested in machine learning, analytics, and business insights
- Willingness to learn through practical execution
How to Apply
Apply directly through LinkedIn using the Apply option.