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Cloud Engineer Lead
2 weeks ago
Make a significant impact on reducing the planet's carbon emissions through AI and ML.
An innovative startup is currently looking to grow out their engineering teams. They're seeking Full Stack Developers with expertise in:
- Developing scalable web applications with modern front-end and back-end technologies.
- Building and integrating RESTful APIs & microservices.
- Ensuring responsive and user-friendly UI/UX.
The ideal candidate will have experience with:
- API development.
- MLOps tools (MLflow, Kubeflow, SageMaker).
- Deploying ML models.
- Cloud platforms (AWS, Azure, GCP) & containerization (Docker, Kubernetes).
This role involves:
- Developing pipelines for training, validation, and deployment of ML models.
- Implementing model versioning, monitoring, and optimization.
- Packaging ML models for seamless integration with APIs and applications.
- Setting up CI/CD pipelines for automated deployments.
- Optimizing system performance and cost-efficiency.
The successful candidate will work closely with ML engineers, data scientists, and product teams to deliver cutting-edge AI projects and make a positive impact on the environment.