ML Ops Engineer
6 days ago
Design, develop, and deploy machine learning models in production environments.
Collaborate with cross-functional teams to identify business problems and develop solutions.
Develop and maintain large-scale data pipelines and architectures.
Ensure high-quality data processing and analysis using various tools and techniques.
Implement automated testing and deployment scripts for machine learning models.
Troubleshoot and resolve issues related to machine learning model performance.
Job Requirements
Strong understanding of software development principles and practices.
Experience with machine learning frameworks such as TensorFlow or PyTorch.
Knowledge of cloud platforms such as AWS or Azure.
Familiarity with containerization using Docker.
Understanding of agile development methodologies and version control systems like Git.
Excellent problem-solving skills and attention to detail.
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ML Ops Engineer
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