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MLOps Engineer
A company is looking for an ML Ops Engineer (Remote). Key Responsibilities Implement CI/CD pipelines for model training, testing, and deployment Develop scalable ML infrastructure to ensure reliable AI model performance Automate model retraining, versioning, and monitoring using MLflow, Kubeflow, or Airflow Required Qualifications Bachelor's/Master's in Computer Science, AI, or related field 4+ years in MLOps, AI infrastructure, or DevOps Strong expertise in CI/CD tools for ML (e.g., MLflow, Kubeflow, Airflow) Experience with cloud ML services (AWS SageMaker, Google Vertex AI, Azure ML) Proficiency in container orchestration (Docker, Kubernetes)
A company is looking for an ML Ops Engineer (Remote).
Key Responsibilities
Implement CI/CD pipelines for model training, testing, and deployment
Develop scalable ML infrastructure to ensure reliable AI model performance
Automate model retraining, versioning, and monitoring using MLflow, Kubeflow, or Airflow
Required Qualifications
Bachelor's/Master's in Computer Science, AI, or related field
4+ years in MLOps, AI infrastructure, or DevOps
Strong expertise in CI/CD tools for ML (e.g., MLflow, Kubeflow, Airflow)
Experience with cloud ML services (AWS SageMaker, Google Vertex AI, Azure ML)
Proficiency in container orchestration (Docker, Kubernetes)