Azure MLOPs Engineer

Role: Azure MLOPs Engineer
Location: Wokingham, UK
Duration: Contract

Job Description:
Your responsibilities:

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• 5+ years of experience in MLOps, DevOps or a related field.
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• Strong understanding of machine learning principles and model life cycle management.
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• Passionate about making things work iteratively and automating + scaling them
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• Deep knowledge of software development and engineering in combination with ML models
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• Experience in development Azure Machine Learning or any MLOPs frameworks
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• Experience with SQL and noSQL environments, Azure SQL database and Storage Account - blob is must
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• Proficiency in programming languages such as Python, with hands-on experience in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
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• Experience with cloud platforms Azure machine learning services.
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• Experience with monitoring tools and practices for model performance in production.
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• practical ability in creating build and release pipelines in Azure DevOps for ML artifacts
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• experience in supporting Real Time-inference scenarios with Azure Machine Learning
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• Knowledge of tools, methods, and frameworks used by data scientists
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• Familiarity with data engineering practices and tools.
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• Familiarity with data formats such as GRIP, NETCDF, Parquet, and JSON is a plus.
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• Azure data scientist associate certificate is plus.
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