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Senior MLOps Engineer
2 months ago
We are seeking a highly skilled Senior MLOps Engineer to join our team at DeepRec. As a key member of our engineering team, you will be responsible for designing and implementing an innovative platform architecture for machine learning operations.
Key Responsibilities:
- Design and implement a scalable and efficient platform architecture for machine learning operations.
- Define the model management lifecycle, including continuous fine-tuning and monitoring of model performance.
- Deploy and maintain machine learning models on Kubernetes clusters.
- Collaborate with data scientists to comprehend their requirements and ensure a seamless workflow for model development and deployment.
Required Skills:
- Proven experience in MLOps and deploying machine learning models on Kubernetes.
- Proficiency in cloud technologies, including AWS, GCP, and Azure.
- Experience with data orchestration tools, such as Apache Airflow.
- Familiarity with Terraform for CI/CD and infrastructure as code.
- Strong programming skills in software development.
- A cloud-agnostic mindset, with experience in Kubeflow considered a bonus.
We look forward to hearing from you and discussing the role and next steps.
