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Machine Learning Intern (Entry Level)

Techskill Pvt Ltd

3.6
1 review
Techskill Pvt Ltd
Job Type   /   Job Level
Internship   /   Internship
Job Location
India
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Company Description

  • Techskill Pvt Ltd is a leading hiring and staffing company that connects tech professionals with top IT organizations. We specialize in identifying and matching skilled talent with industry-specific needs, offering tailored solutions for both short-term and long-term roles.


Machine Learning Intern (Entry Level)

Remote Opportunity | Freshers & Students Welcome | Immediate Hiring

Passionate about Machine Learning and Artificial Intelligence? We are looking for motivated freshers and students who want to gain real-world experience by working on practical Machine Learning projects and data-driven solutions.

This opportunity is perfect for beginners who are eager to explore ML algorithms, model development, and intelligent systems while learning from experienced professionals.

What You’ll Work On

• Assist in building and training Machine Learning models

• Work on data preprocessing and feature engineering tasks

• Analyze datasets and generate meaningful insights

• Implement ML algorithms using Python and ML libraries

• Support real-world AI and analytics projects

• Participate in research and experimentation activities

Who Can Apply

• Freshers, students, and entry-level candidates

• Basic understanding of Python or Machine Learning concepts

• Familiarity with Data Analytics or AI tools is a plus

• Strong analytical and logical thinking skills

• Passion for Machine Learning and emerging technologies

Job Details

Mode: Remote / Work From Home

Experience: Entry Level / Fresher

Duration: 3 Months

Stipend: ₹25,000/month

Why Join Us?

• Hands-on practical exposure with real-world ML projects

• Internship & Experience Certificate

• Mentorship from industry professionals

• Opportunity to build a strong project portfolio

• Skill enhancement and career growth opportunities

• 100% Placement Support

How to Apply

Interested candidates can apply by clicking on the “Apply” button.

Early applicants will get priority during the shortlisting process. Limited openings available.


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