Deep Learning Research Engineer Job in Okcredit Psi Phi Global Solutions Pvt. Ltd.
Deep Learning Research Engineer
Okcredit Psi Phi Global Solutions Pvt. Ltd.
4+ weeks ago
- Bengaluru, Bangalore Urban, Karnataka
- Not Disclosed
- Full-time
- Permanent
Job Summary
This places OKCredit in a unique position and gives the team a distinct opportunity to decipher the richest possible data about Indian MSME sector. The vast variety and magnitude of data at OKCredit which is a mix of structured, unstructured, image,text based data is all set to revolutionize the way India accounts for its money. Some of the ML use cases, currently at OKCredit are:
- User acquisition and user retention
- Network growth using massive graph data
- NLP/NLU based products for Indic languages
- Audio/Voice capabilities for building voice-first products
Responsibilities:
- Building scalable and low latency DL systems
- Model training, validation and post deployment monitoring
- Maintaining and improving existing codebases and peer reviewing code
- Liaising with team members on ML system design and technical documents
- Managing ML technical debt
- Manage individual project priorities, deadlines and deliverables
- Research and literature review (including open source)
- Understanding and implementing SOTA research papers
- Bonus:
- Expertise in building ASR (Automatic speech recognition) systems
- Published papers in any of the leading ML conferences (NIPS, ICML,CVPR etc.)
- Open source contribution
- Competitive results in deep learning competitions
- Deployment on edge devices
- Exposure to graph neural networks (large scale graphs)
Tools:
- Python, SQL, Databases, Pytorch/Tensorflow
- Bonus: Kubernetes, Docker, GCP stack
Qualifications
- Bachelor's degree in Computer Science, or related technical field, or equivalent work experience.
- 5+ years of Machine learning and Deep Learning research experience.
- Proficiency in building varied DL models (RNNs, CNNs, Transformers etc.)
- Ability to apply DL solutions to structured data problems
- Ability to do literature review, along with understanding and implementing the research papers
- Industry experience in training and deploying Deep Learning models
- Industry experience in Deep Learning system design
- Bonus: Competitive results in Kaggle problems
Experience Required :
Fresher
Vacancy :
2 - 4 Hires
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