Azure MLOPs Engineer

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

Job Description:
Your responsibilities:

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