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Remote MLOps Engineer: Scale Production ML Pipelines
Job summary
A leading digital engineering partner is looking for a Machine Learning Operations Engineer to deploy and monitor machine learning models effectively. You will bridge the gap between platform engineering and software, automate workflows, and optimize performance. Required skills include proficiency in Python, experience with cloud platforms (AWS, GCP), and knowledge of MLOps frameworks. This role is crucial for enhancing the scalability of machine learning solutions.
Benefits
Qualifications
- Proficiency in Python for ML development.
- Expertise in cloud platforms (AWS, GCP).
- Strong knowledge of MLOps frameworks and DevOps tools.
- Experience with Docker and Kubernetes.
- Hands-on experience with ML frameworks.
Responsibilities
- Deploy, monitor, and maintain machine learning models.
- Automate model training and governance processes.
- Design and implement scalable MLOps pipelines.
- Work closely with data scientists to operationalize ML models.
Skills
Education
Tools
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.