MLOps Innovator for Data Science Projects
2 dni temu
Your Responsibilities:
- Develop and implement MLOps strategies to enhance data science projects.
- Drive the evolution of MLOps maturity by prioritizing and completing key tasks.
We are looking for an experienced MLOps professional with expertise in Kubernetes, MLOps platforms (e.g., Kubeflow, AWS SageMaker), and cloud infrastructure (AWS, GCP, Azure).
A strong background in Python, Bash, and Unix scripting, along with experience in CI/CD pipelines, is essential. Familiarity with DevOps practices, Agile methodologies, and infrastructure automation tools (e.g., Ansible, Terraform) is also required.
The ideal candidate should have a solid understanding of machine learning concepts and experience working with ML models.
Key Benefits:
- Collaborate on challenging and engaging projects
- Enjoy flexible work hours
- Work in a dynamic, non-corporate environment
- Relish stable employment conditions (contract of employment or B2B contract)
- Pursue career development opportunities
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