Machine Learning Intern (Next Level Internship)
Jakarta, Jakarta, Indonesia
Mekari
Transformasi bisnis Anda dengan software terintegrasi Mekari. Efisienkan proses bisnis & tingkatkan produktivitas karyawan Anda sekarang!Location: Jakarta,Jakarta,Indonesia
The Next Level Internship program by Mekari is a highway for achievement-oriented young talents to create their #BiggestImpact and #InnovateLeadWin in a competitive and encouraging environment, where they get to choose their own preferred teams and bring themselves and their team to the next level.
If you are:
- An Indonesian student, studying in Indonesia or abroad (this program is fully remote, you can apply from anywhere in the world!); or
- An alumnus, max. 1 year after graduation
Send in your application now and start your journey to:
- Experience working at Indonesia's no. 1 SaaS company
- Get a min. 3-month period internship experience with your preferred team and role
- Receive monthly evaluations to keep your Next Level journey on track
- Attend an exclusive graduation ceremony with leaders of Mekari
- Join an exclusive community of A-list interns and receive specially-curated insights
By applying through this opening, you are applying specifically for the role of Machine Learning Intern:
Job Description:
- Data Processing and Analysis: Collaborate with the Mekari Stream team to process and analyze data from various paper documents, understanding the complexity of unstructured data.
- Machine Learning Model Training: Assist in training machine learning models to categorize documents and extract valuable information. Work alongside experienced data scientists in refining and optimizing models for enhanced accuracy.
- Python Development: Leverage your understanding of Python to contribute to the development and implementation of machine learning algorithms.
- Documentation and Reporting: Document the model development process, algorithms used, and results obtained. Generate regular reports to update the team on the progress of machine learning initiatives.
Feature Engineering: Engage in feature engineering to improve the performance of machine learning models. Explore innovative approaches to enhance the categorization and information extraction processes.
Requirements:
- Currently pursuing or have a degree in Computer Science, Data Science, or a related field.
- Familiarity with Python programming language.
- Familiarity with Google Cloud Platform Doc AI is a plus.
- Familiarity with machine learning concepts and frameworks.
- Interest or coursework in data processing, and computer vision.
- Eagerness to learn and apply new concepts in the field of machine learning.
- Effective problem-solving skills and attention to detail.
- Ability to collaborate with cross-functional teams in a fast-paced environment.
IMPORTANT:
Before going ahead with your application, make sure you have these items ready to submit:
1. An updated CV
2. Self-introduction video (max. duration 3 minutes), in which you need to mention:
- Name, City, University
- Semester / Graduation Date
- An accomplishment you're most proud of
- Reasons behind applying to Mekari's Next Level Internship
- If you were a game character, what skills would you be chosen for?
Note: You may use either English or Bahasa Indonesia for your Self-Introduction video.
If you face any difficulties / errors when uploading your Self-Introduction video, please try the following method:
- Upload your Self-Introduction Video onto Google Drive.
- Insert the Google Drive link into a Google Docs file.
- Download the Google Docs file as PDF.
- Attach the PDF file in your Next Level Internship application's “Self-Introduction Video” section.
Stii got any questions? Shoot us a DM on Instagram at @lifeatmekari
Good luck and we hope you make it to the Next Level of your journey with Mekari!
Mekari Next Level Internship Program: Pick Your Team, Pave Your Way
Apply to this jobTags: Computer Science Computer Vision Engineering Feature engineering GCP Google Cloud Machine Learning ML models Model training Python Unstructured data
Perks/benefits: Career development Startup environment
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