ServerBee
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· 56 views · 4 applications · 8d
ML/MLOps engineer to $5000
Full Remote · Europe except Ukraine · Product · 2 years of experience · Upper-IntermediateRequirements: 2+ years of experience in MLOps/ML. Strong knowledge of Python and SQL. Experience with ML libraries (TensorFlow, PyTorch, NumPy etc.). Experience in machine learning model deployments and pipelines. Experience with MLOps frameworks/tools...Requirements:
2+ years of experience in MLOps/ML.
Strong knowledge of Python and SQL.
Experience with ML libraries (TensorFlow, PyTorch, NumPy etc.).
Experience in machine learning model deployments and pipelines.
Experience with MLOps frameworks/tools (e.g. Sagemaker pipelines/ Azure ML Studio/ VertexAI/ Kubeflow/ MLFlow).
Understanding of data integration, and database management.
Quick learning abilities.
English upper-intermediate оr higher.
Would be a plus:
Hands-on experience with Cloud Services(AWS, GCP, Azure).
Experience with Docker, Kubernetes, CI/CD, IaC, Prometheus, Grafana.
Responsibilities:
Develop, refine, and use ML engineering platforms and components, development workflow pipelines.
Deployment of open-source and other models to different instances.
Collaborate with ML architect and data scientists to curate high-quality datasets and optimize data workflows.
Rapid model deployment implementation.
Developing process-related documentation.
Kubeflow and MLFlow upgrade.
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