DevOps & MLOps Engineer

We are seeking a talented and experienced DevOps & MLOps Engineer to join our team

You will be responsible for implementing and managing the infrastructure and processes for deploying machine learning models and ensuring smooth and efficient development operations

",jobkeywords:"DevOps, MLOps, Machine Learning, Kubernetes, Docker, CI/CD, Cloud Infrastructure, Automation", jobresponsibilities:"Design, implement, and manage CI/CD pipelines for machine learning projects

Automate the deployment and monitoring of ML models

Collaborate with data scientists and developers to ensure smooth integration of ML models into production

Manage cloud infrastructure to support ML and DevOps workflows

Implement best practices for infrastructure as code and configuration management

Monitor system performance and troubleshoot issues as they arise

Stay updated with the latest advancements in DevOps and MLOps technologies

",jobProven experience as a DevOps or MLOps Engineer

Strong knowledge of CI/CD tools such as Jenkins, GitLab CI, or CircleCI

Experience with containerization technologies like Docker and orchestration tools like Kubernetes

Familiarity with cloud platforms such as AWS, Azure, or Google Cloud

Proficiency in scripting languages such as Bash, Python, or Groovy

Understanding of machine learning workflows and deployment

Experience with infrastructure as code tools like Terraform or Ansible

Strong problem-solving skills and ability to work in a collaborative environment

Excellent communication skills

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