FRND•23 days ago
Machine Learning Intern
Recruiter Fit Breakdown & Candid Summary
1
This role is ideal for high-performing students from Tier 1 institutions seeking hands-on experience with production-scale ML.
2
Candidates must be comfortable with a 6-day work week and a 6-month onsite commitment in Bengaluru.
3
The position is best suited for those with a strong grasp of ML fundamentals and a desire to see models impact millions of users.
4
Those seeking a remote role or a standard 5-day work week should not apply.
Role Responsibilities
- 1Develop and deploy image, video, and audio ML models for fake-profile and abuse detection.
- 2Build and clean datasets from production signals to improve model performance.
- 3Train and fine-tune models using Python and PyTorch.
- 4Collaborate with backend engineers to integrate models into inference services.
- 5Monitor model drift and evaluate performance metrics like precision and recall in production.
Skills Matrix
Must-Have Skills
Python
PyTorch
TensorFlow
Machine Learning(ML)
NumPy
pandas
Computer Vision
Natural Language Processing(NLP)
Nice-to-Have Skills
SQL
Git
Docker
Hugging Face
Whisper
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Grounded Observations to Note
High-intensity work schedule
"The FRND team operates 6 days a week, with the 1st and 3rd Saturday being working Saturdays."
Ready to submit your application?
Apply directly on FRND's official job portal.