Markytics jobs - Data Science Machine Learning
Data Science Machine Learning
Fresher
Salary not disclosed
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Your Profile matches the job
Your Profile matches the job
Posted:
3 Years ago
Views:
Applications:
Openings:
2
Job Description
Selected intern's day-to-day responsibilities include:
1. Building a machine learning algorithm for Fintech startups and FMCG companies
2. Building AI models
Skill(s) required
Learn these skills on Internshala Trainings
Learn Python
Who can apply
Only those candidates can apply who:
1. are available for full time (in-office) internship
2. can start the internship between 26th Sep'20 and 31st Oct'20
3. are available for duration of 6 months
4. have relevant skills and interests
Perks
Number of openings: 2
Certificate: Will be provided at the end of the Internship
Job Particulars
Education
Diploma, B.Com, M.Com, BCA, BE/B.Tech, BSc, MCA, ME/M.Tech, MSc, PG Diploma, 12th Pass (HSE)
Who can apply
Freshers
Hiring Process
Face to Face Interview
Employment Type
Apprenticeship
Job Id
644869
Job Category
IT/Software , Diploma
Locality Address
Mumbai-Others
State
Maharashtra
Country
India
About Company
Markytics is a team of highly qualified and passionate data science/ML professionals. At Markytics, our objective is to develop strategic partnerships with our clients to deliver improved profits and enhanced customer value by drawing on our strengths in data analytics and statistical modeling.
We are a global analytics and insights provider firm that helps companies to understand how and why their customers make decisions. We help companies to understand customer expectations, improve customer experience, and secure customer management. We strive to make data science accessible to and usable by everyone, across small, medium, and large-scale enterprises.
We are a global analytics and insights provider firm that helps companies to understand how and why their customers make decisions. We help companies to understand customer expectations, improve customer experience, and secure customer management. We strive to make data science accessible to and usable by everyone, across small, medium, and large-scale enterprises.
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