MLOps Engineer
1 tydzień temu
To design, implement, and manage machine learning infrastructure that supports scalable and reliable deployment of machine learning models.
MLOps Engineer
Your responsibilities
- Design and build CI/CD pipelines for machine learning models.
- Manage and optimize ML model deployment and performance.
- Automate and monitor model retraining processes.
- Ensure data quality and compliance with data governance policies.
- Collaborate with data scientists to integrate models into production environments.
- Develop and maintain infrastructure for data ingestion and feature engineering.
- Troubleshoot and resolve issues related to ML infrastructure and platforms.
Our requirements
- Bachelor's degree in Computer Science, Data Science, or related field.
- Proficiency in programming languages such as Python and/or Java.
- Experience with machine learning frameworks and libraries.
- Knowledge of containerization technologies like Docker and Kubernetes.
- Familiarity with version control systems such as Git.
- Strong problem-solving and troubleshooting skills.
- Ability to work as part of a team and communicate effectively.
- Experience with cloud platforms (e.g., AWS, GCP, Azure).
- Knowledge of MLOps principles and best practices.
- Familiarity with infrastructure-as-code tools (e.g., Terraform).
- Experience with monitoring and logging tools (e.g., Prometheus, Grafana).
- Understanding of data engineering principles and tools.
- Domain knowledge in relevant industry applications.
Aplikuj
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