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7194 Turing Jobs

ML Ops Engineer

3-5 years

Remote

1 vacancy

ML Ops Engineer

Turing

posted 3+ weeks ago

Job Role Insights

Flexible timing

Job Description


Job Responsibilities:
  • Architect and establish cloud infrastructure and data workflows to facilitate the deployment of large-scale machine learning models in production environments.
  • Define and promote best practices for MLOps to ensure high standards of quality, consistency, and automation across the organization.
  • Innovate and implement continuous integration and delivery (CI/CD) pipelines, enabling swift iteration and deployment of ML models and systems.
  • Collaborate with cross-functional teams to identify, create, and integrate tools and services optimally supporting ML processes, from training and tuning to inference.
  • Keep abreast of emerging technologies and propose integration strategies to enhance ML system performance, maintainability, and reliability.
  • Contribute to ML systems security, traceability, versioning, and automate the deployment of proof-of-concept projects to production.
Job Requirements:
  • Minimum of 3 years of experience in building and deploying end-to-end machine learning projects in a similar role as an ML Ops Engineer, ML Platform Engineer, or ML Engineer.
  • Proficient knowledge of popular machine learning frameworks, including PyTorch, Tensorflow, and associated technologies.
  • Profound software engineering skills, with a strong command of Python and cloud computing environments.
  • Solid understanding of cloud security principles and compliance standards within platforms such as AWS and GCP.
  • Expertise in scalable database systems and proficient experience in developing CI/CD pipelines in cloud-based architectures.
  • Proven experience in containerization technologies and orchestration tools like Kubernetes and Terraform.
  • Demonstrated ability to develop custom API integrations and familiarity with data orchestration frameworks.
  • Autonomous and innovative problem-solving skills, with the ability to lead, impactful initiatives in a dynamic and uncertain landscape.

Employment Type: Full Time, Permanent

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