Apply

MLOps Engineer

Posted 2024-11-07

View full description

💎 Seniority level: Junior, 2+ years

📍 Location: Philippines, EST, NOT STATED

💸 Salary: 50000 - 90000 PHP per month

🔍 Industry: Healthcare and Technology

🏢 Company: Theoria Medical

🗣️ Languages: English

⏳ Experience: 2+ years

🪄 Skills: AWSDockerPythonSoftware DevelopmentBashGCPGitJenkinsKubernetesAzureGoGrafanaPrometheusCommunication SkillsCollaborationCI/CDDocumentation

Requirements:
  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 2+ years of experience in DevOps, Site Reliability Engineering, or a related role.
  • Proficiency in cloud platforms such as AWS, Azure, or GCP.
  • Experience with containerization tools like Docker and Kubernetes.
  • Knowledge of infrastructure-as-code tools like Terraform and Ansible.
  • Strong skills in scripting languages such as Python, Bash, or Go.
  • Experience with monitoring and logging tools like Prometheus, Grafana, or ELK stack.
  • Proficient in CI/CD tools such as Jenkins, GitLab CI, or CircleCI.
  • Strong experience with version control systems like Git.
  • Excellent problem-solving and troubleshooting abilities.
  • Strong verbal and written communication skills.
  • Ability to thrive in a fast-paced, dynamic environment.
Responsibilities:
  • Design, implement, and manage scalable infrastructure solutions.
  • Develop and maintain automation scripts and tools.
  • Implement monitoring and alerting systems.
  • Respond to and resolve production incidents with root cause analysis.
  • Design, implement, and optimize CI/CD pipelines.
  • Collaborate with development, QA, and operations teams.
  • Ensure security and compliance of infrastructure.
  • Monitor system performance and plan for scalability.
  • Create and maintain documentation of infrastructure and processes.
  • Identify areas for improvement in deployment and operations.
Apply

Related Jobs

Apply

📍 Kenya, Philippines, Mexico, India, United States

🔍 Fintech

  • Experience in Machine Learning and AI infrastructure.
  • Automation expertise.
  • Knowledge of AWS cloud infrastructure.
  • Familiarity with DevOps practices.

  • Design, implement, and maintain suitable infrastructure for ML Pipelines.
  • Establish best deployment practices for ML models.

AWSPythonArtificial IntelligenceCloud ComputingMachine LearningAmazon Web ServicesDevOps

Posted 2024-11-14
Apply
Apply
🔥 MLOps Engineer
Posted 2024-10-21

📍 Dubai, London, Malta

🏢 Company: Eqvilent

  • Strong knowledge of Python
  • Familiarity with Docker
  • Basic understanding of machine learning concepts and techniques

  • Design and build ELT pipelines for data processing and analysis.
  • Construct MLOps pipelines for automated retraining and validation of models.
  • Implement CI/CD pipelines for deploying models and ML services.
  • Create services for monitoring ML models in production.

PythonMachine LearningCI/CD

Posted 2024-10-21
Apply