Cloud Engineering Lead for Machine Learning Solutions
4 days ago
Job Title: Cloud Engineering Lead for Machine Learning Solutions
Coffeee is seeking an experienced Cloud Engineer to lead the development and implementation of machine learning solutions using AWS cloud services. The successful candidate will work closely with data scientists, ML engineers, and DevOps teams to design, implement, and maintain robust CI/CD pipelines for deploying machine learning models and solutions.
Key Responsibilities:
- Design and implement robust CI/CD pipelines for deploying machine learning models and solutions using AWS cloud services.
- Automate and streamline deployment processes using AWS services such as Code Pipeline, Code Build, Code Deploy, and Code Commit.
- Ensure seamless integration of model training, testing, and deployment stages within the CI/CD pipeline.
- Set up and manage infrastructure as code (IaC) using tools like AWS CloudFormation or Terraform for creating scalable and reliable environments for ML applications.
- Automate deployment, scaling, and monitoring of machine learning models in AWS environments using AWS Lambda, ECS, EKS, and Sage Maker.
Requirements:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 8+ years of experience as an AWS Engineer, DevOps Engineer, or Cloud Engineer, with a focus on CI/CD pipelines and machine learning solutions.
- Strong expertise in AWS cloud services (S3, EC2, Sage Maker, Lambda, Code Pipeline, etc.).
- Experience with CI/CD tools like AWS Code Pipeline, GitLab CI, or similar platforms.
- Proficiency with containerization tools such as Docker and Kubernetes for managing microservices architecture.
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and deployment in production environments.
- Estimated Salary: $120,000 - $180,000 per year.
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