Senior DevOps Engineer / ML Ops

Envision Employment Solutions is currently looking for a Senior DevOps Engineer / ML Ops  for one of our partners, a global leader in consulting, digital transformation, technology, and engineering services.

This position requires flexibility to work on US times and flexibility to travel abroad when needed.

Responsibilities:

• DevOps:
• Automate and streamline the software build, test, and deployment processes using CI/CD pipelines (e.g., Jenkins, GitLab CI, Azure DevOps).
• Build and maintain robust and scalable infrastructure using cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
• Manage and monitor infrastructure performance, availability, and security.
• Implement and maintain infrastructure-as-code (IaC) practices using tools like Terraform, Ansible, or CloudFormation.
• Collaborate with development teams to improve software quality and release velocity.
• Implement and maintain monitoring and logging systems (e.g., Prometheus, Grafana, ELK stack).
• Participate in on-call rotations for infrastructure support.
• MLOps:
• Build and maintain MLOps pipelines for model training, validation, deployment, and monitoring.
• Develop and implement tools and frameworks for model versioning, tracking, and reproducibility.
• Containerize and deploy machine learning models using technologies like Docker and Kubernetes.
• Integrate machine learning models with production systems and APIs.
• Monitor model performance in production and implement mechanisms for retraining and redeployment.
• Ensure the security and privacy of machine learning models and data.

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in a DevOps or Systems Administration role.
• Strong experience with Linux/Unix systems administration.
• Experience with cloud computing platforms (AWS, Azure, GCP).
• Experience with containerization technologies (Docker, Kubernetes).
• Experience with CI/CD pipelines and tools (Jenkins, GitLab CI, Azure DevOps).
• Experience with scripting languages (Python, Bash).
• Experience with infrastructure-as-code tools (Terraform, Ansible, CloudFormation).
• Experience with monitoring and logging tools (Prometheus, Grafana, ELK stack).
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.

• Competitive Salary based on experience

• Social and medical insurance
• Learning, development and career progression