Machine Learning Internship

Start Date
Starts immediatelyImmediately
Duration
6 Months
Stipend
₹ 10,000-15,000 /month
APPLY BY
20 May' 24
Posted 1 week ago
Internship

About the internship

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

1. Develop machine learning models and algorithms
2. Select appropriate datasets and data representation methods
3. Work on pre-process data and perform feature engineering
4. Analyze large datasets to extract actionable insights
5. Develop statistical models and algorithms to solve business problems
6. Visualize data and communicate findings to stakeholders
7. Design, build, and maintain scalable data pipelines and infrastructure
8. Extract, transform, and load (ETL) data from various sources
9. Ensure data quality, integrity, and security

Skill(s) required

Deep Learning Machine Learning

Who can apply

Only those candidates can apply who:

1. are available for full time (in-office) internship

2. can start the internship between 29th Apr'24 and 3rd Jun'24

3. are available for duration of 6 months

4. are from or open to relocate to Pune and neighboring cities

5. have relevant skills and interests

Other requirements

1. Good analytical and problem-solving skills.

2. Ability to work independently and in a team environment.

3. Excellent communication and presentation skills.

4. Prior experience with real-world machine learning projects or internships is a plus

5. Strong understanding of machine learning fundamentals and algorithms.

6. Proficiency in at least one programming language commonly used in machine learning

Perks

Certificate 5 days a week

Number of openings

2

About Springflow Technologies Private Limited

Springflow Technologies, established in 2022, is dedicated to sourcing exceptional talent for companies spanning diverse sectors, including IT, non-IT, and more. Our primary objective is to connect organizations with top-quality candidates who align perfectly with their requirements. With a remarkable track record of successful talent acquisition, we are confident in our ability to enhance and optimize your hiring process. Our extensive talent pool boasts over 2 lakh highly skilled candidates, spanning both IT and non-IT fields.
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Hiring since April 2024
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