Machine Learning Operations Specialist
5 days ago
- Minimum 9 years of experience in DevOps, data engineering, and machine learning.
- Experience building and maintaining CI/CD pipelines using DevOps tools such as Ansible, Docker, Kubernetes, and Jenkins.
- Experience building, deploying, and maintaining ML models in production using MLOps tools such as ModelDB, MLFlow, and Kubeflow.
- Familiarity with cloud infrastructure and experience with Microsoft Azure Platform is a plus.
- Excellent communication and teamwork skills.
Benefits
We offer a competitive salary, comprehensive benefits package, and opportunities for professional growth and development. As a member of our team, you will be working on exciting projects that contribute to the success of our clients. If you are passionate about data science and machine learning, and are looking for a challenging and rewarding career opportunity, please apply.
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