ML Engineer
4 days ago
Job Description
- Strong experience in Azure - mainly Azure ML Studio, AKS, Blob storage, ADF, ADO Pipelines
- Ability and experience to register and deploy ML/ AI/ GenAI models via Azure ML Studio
- Working knowledge of deploying models in AKS Clusters
- Design and implement data processing, training, inference, and monitoring pipelines using Azure ML
- Excellent Python skills - environment setup and dependency management, coding as per best practices - knowledge of automatic code review tools like Linting and Black
- Experience with MLflow for model experiments, logging artifacts and models, monitoring
- Experience in orchestrating machine learning pipelines using MLOPs best practices
- Experience in DevOps with CI/CD knowledge (Git in Azure DevOps)
- Experience in model monitoring (drift detection and performance monitoring)
- Fundamentals of Data Engineering
- Docker-based deployment is good to have
Job Types: Temporary, Contract
Work Location: Remote
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