Sr Developer, MLOPs
Tasks
- Build and maintain backend systems
- Build and manage MLOps pipelines
- Build responsive user interfaces
- Collaborate with data scientists
- Conduct code reviews and optimizations
- Create technical documentation
- Design and deploy applications on GCP
- Design modular scalable system architectures
- Develop RESTful APIs
- Ensure performance, scalability, and security
- Implement and deploy machine learning models to production
- Manage containerized solutions with Docker and Kubernetes
- Monitor and validate ML workflows
- Set up and maintain CI/CD pipelines
Perks/Benefits
Skills/Tech-stack
Angular | CI/CD | Distributed Systems | Docker | Feast | GCP | Git | GitLab CI | GitLab CI/CD | Java | Jenkins | Kubernetes | MLOps | MLflow | Machine Learning | Microservices | MySQL | PostgreSQL | Python | REST APIs | React | SQL | Vue.js
Education
N/A
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