Senior Machine Learning Operations
Senior Machine Learning Operations
Posted on :
23-11-2024
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1 Vacancy
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Job Description
Job Title: Senior Machine Learning Operations (MLOps)
Location: Preferably Hybrid in Porto
Work Regime: Fulltime
Overview / Summary:
LUZA Group is looking for a Senior MLOps Engineer to join our team. This role will focus on managing monitoring and optimizing machine learning workflows in production ensuring automation scalability and seamless integration of code and models into production environments.
Responsibilities and Tasks:
- Manage monitor and optimize the endtoend machine learning workflows in production environments.
- Automate and scale machine learning pipelines ensuring they are reliable efficient and performant.
- Work closely with data scientists and engineers to integrate machine learning models into production systems.
- Ensure the continuous integration and deployment (CI/CD) of machine learning code and models across various environments.
- Troubleshoot and resolve issues related to model deployment performance and scalability.
- Monitor model performance and ensure that models are running efficiently in production implementing improvements as needed.
Mandatory Requirements:
- Extensive experience in MLOps or DevOps with a focus on machine learning workflows.
- Proficiency with tools such as Azure ML Docker Kubernetes and CI/CD pipelines tailored for machine learning.
- Strong experience in Python and machine learning libraries like scikitlearn TensorFlow KubeFlow etc.
- Solid understanding of cloud platforms particularly Azure.
- Experience in deploying and maintaining machine learning models in production environments at scale.
- Languages: Portuguese and English both fluent.
Nice to have:
- Microsoft Certified: Azure Machine Learning or Azure DevOps Engineer certification.
- Familiarity with version control systems (e.g. Git) and infrastructureascode tools (e.g. Terraform).
- Experience with monitoring and logging tools to track model performance and system health (e.g. Prometheus Grafana).
- Knowledge of cloudnative architectures and container orchestration tools like Kubernetes.
Employment Type
Full Time
Key Skills
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