Software Engineer (Machine learning & Recommendation)
Tasks
- Analyze datasets conduct experiments and A B testing to evaluate models
- Build optimize recommendation algorithms for personalization
- Collaborate with product and engineering teams to translate requirements into ML solutions
- Deploy and operate machine learning models with Kubernetes and MLOps
- Design develop deploy maintain scalable machine learning recommendation systems
- Monitor production systems troubleshoot issues and improve performance
Perks/Benefits
- Flexible working hours
- Flextime policy
- Hybrid work model
- International collaboration
- Technical growth opportunities
Skills/Tech-stack
A/B | A/B Testing | AWS | Azure | B testing | Data Analysis | Docker | Experiment tracking | GCP | Kubernetes | MLOps | Machine Learning | Microservices | Model Deployment | NumPy | Pandas | Personalization | PyTorch | Recommendation Systems | Scikit-learn | TensorFlow
Education
N/A
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