Data Scientist - Machine Learning
Tasks
- Apply machine learning and statistics to real world problems
- Build production ready machine learning models
- Collaborate with product and development teams
- Communicate model insights to non technical audiences
- Deploy models using Kubernetes
- Explore web and mobile data for business problems
- Identify improvements and new ML use cases
- Produce real time asynchronous and batch predictions
Perks/Benefits
- Extra day off
- Hybrid work
- Learning and development initiatives
- Mentorship program
- Relocation package
Skills/Tech-stack
CI/CD | Cloud infrastructure | Cloud platform | Git | Google Cloud | Google Cloud Platform | Kafka | Kubernetes | Machine Learning | Nginx | PyTorch | Python | Recommender Systems | SQL | Statistics
Education
N/A
Regions
Countries
States
Cities
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