ML OPS Engineer
ML OPS Engineer
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1 Vacancy
Job Description
- Overall 10 years out of 58 years relevant experience in MLOps.
- Azure Terraform IAC ML FLow and ML retraining pipelines
- can support the team with deploying LLMs ML inference APIs in Azure oor Databricks
- Can deploy monitoring and full set of observability set.
- Deep quantitative/programming background with a degree (Bachelors) in a highly analytical discipline like Statistics Economics Computer Science Mathematics Operations Research etc
Responsibilities:
- Design and implement cloud solutions build MLOps on Azure cloud
- Build CI/CD pipelines orchestration by Azure Devops or similar tools
- Data science model review code refactoring and optimization containerization deployment versioning and monitoring of its quality
- Data science models testing validation and tests automation
- Communicate with a team of data scientists data engineers and architect document the processes
Requirements:
- Overall 10 years out of 58 years of experience in managing machine learning projects endtoend with the last 18 months focused on MLOps.
- Monitoring Build & Production systems using automated monitoring and alarm tools
- Knowledge of machine learning frameworks: TensorFlow PyTorch Keras ScikitLearn
- Knowledge on building pipelines using synapse databricks end to end.
- Experience in API integration and data feeds with social analytics(Facebook Instagram Twitter).
- Experience with MLOps tools such as ModelDB Kubeflow Pachyderm and Data Version Control (DVC)
- Experience in supporting model builds and model deployment for IDEbased models and autoML tools experiment tracking model management version tracking & model training (Dataiku Datarobot Kubeflow MLflow neptune.ai) will be an addon model hyperparameter optimization model evaluation and explainability (SHAP Tensorboard)
- Experience in Databricks Azure DataLake Gen2 and Unity Catalog
- Ability to understand tools used by data scientist and experience with software development and test automation
Azure,databricks,Terraform,MLOps
Employment Type
Full Time
