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Optimove MLOps Senior Engineer 
United Kingdom, Scotland 
703331853

08.12.2024

Key responsibilities include:

  • Managing and optimising existing ML model deployments to ensure reliability and efficiency.
  • Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management.
  • Collaborating closely with data scientists to understand and implement model requirements.
  • Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems.
  • Implementing robust CI/CD pipelines, monitoring systems, and infrastructure automation.
  • Upholding best practices in security, cost management, and infrastructure design for cloud environments.

Responsibilities:

  • Architect and develop robust pipelines for ML model training, testing, and deployment.
  • Implement and maintain CI/CD workflows for ML projects.
  • Monitor production ML systems for performance, errors, and drift.
  • Automate infrastructure provisioning and deployment using IaC tools.
  • Collaborate with team leader to define technical strategies.

Requirements:

  • 4+ years of experience in MLOps, DevOps, or software engineering roles.
  • Strong programming skills in Python and familiarity with ML frameworks.
  • Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) and cloud environments.
  • Proficiency with containerization and orchestration tools (Docker, Kubernetes).
  • Experience with version control systems and CI/CD pipelines.
  • Knowledge of data engineering concepts (e.g., ETL, data pipelines).
  • Ability to troubleshoot complex production systems.
  • Strong communication and collaboration skills.