
Machine Learning Engineer
16 hours ago
Machine Learning Engineer (MLOps)
This role involves designing, implementing, and maintaining scalable, reliable, and automated pipelines for deploying large language models and other AI/ML models in cloud environments.
The ideal candidate will have a deep understanding of cloud-native technologies, model lifecycle management, and the unique challenges associated with deploying and managing large language models.
Key Responsibilities:
- Design and implement MLOps pipelines for model training, validation, deployment, and monitoring
- Implement best practices for model versioning, experimentation tracking, and reproducibility
- Develop and operationalize large language models for efficient deployment, fine-tuning, and performance metrics monitoring
- Work closely with cloud architects and DevOps teams to integrate ML models into cloud infrastructure
- Establish continuous monitoring, logging, and alerting systems for optimal model performance in production
- Collaborate with data scientists, software engineers, and stakeholders to align on requirements, define best practices, and ensure seamless integration of ML solutions
- Implement security best practices in model deployment and data handling
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