Machine Learning Work From Home Part Time Internship

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Actively hiring
Machine Learning
Start Date
Starts immediatelyImmediately
Duration
1 Month
Stipend
₹ 1,000 /month
APPLY BY
16 Jul' 24
Posted 3 weeks ago
Internship
Part time
525 applicants

About the work from home job/internship

Are you passionate about machine learning and looking for hands-on experience in a dynamic tech company? Join us at CodeInterns as a machine learning intern and take your skills to the next level!

Selected intern's day-to-day responsibilities include:

1. Work closely with our data scientists to develop and implement machine learning models
2. Analyze and interpret complex data sets to extract valuable insights
3. Collaborate with cross-functional teams to optimize algorithms and improve model performance
4. Assist in designing and conducting experiments to test and validate machine learning solutions
5. Stay updated on the latest trends and advancements in the field of machine learning
6. Present findings and recommendations to stakeholders in a clear and concise manner
7. Contribute to the overall growth and success of our machine learning projects

Don't miss this opportunity to gain valuable experience and make a real impact in the tech industry. Apply now and kickstart your career in machine learning with CodeInterns!

Who can apply

Only those candidates can apply who:

1. are available for the work from home job/internship

2. can start the work from home job/internship between 14th Jul'24 and 18th Aug'24

3. are available for duration of 1 month

4. have relevant skills and interests

Perks

Certificate Letter of recommendation Flexible work hours

Number of openings

10

About CodeInterns

CodeInterns offers dynamic internship opportunities tailored specifically for college students eager to gain real-world experience in the tech industry. Our programs are designed to bridge the gap between academic theory and practical application, providing students with hands-on projects and mentorship from industry experts. At CodeInterns, we are committed to nurturing the next generation of tech talent by providing a platform where students can enhance their skills, network with professionals, and kickstart their careers in technology.
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