Machine Learning Expert

2 days ago

Mumbai, Maharashtra, India beBeeMachineLearning Full time

We are seeking a talented professional to join our team as a Machine Learning Engineer. The ideal candidate will have hands-on experience with designing, building, and deploying scalable machine learning solutions within the Microsoft Azure ecosystem.

Key Responsibilities:
  • Machine Learning Solution Development: Design, develop, and implement end-to-end machine learning solutions using Azure Machine Learning and Azure Databricks.
  • Data Pipeline Engineering: Build and optimize robust data pipelines for machine learning workloads leveraging PySpark/Spark SQL within Azure Databricks.
  • Azure ML Services: Work extensively with Azure Machine Learning services for model lifecycle management, including experiment tracking, model registry, and deploying models as web services or to Azure Kubernetes Service (AKS).
  • Databricks Platform: Utilize Azure Databricks notebooks, clusters, and Delta Lake for collaborative data science and engineering.
  • Model Optimization & Monitoring: Implement techniques for optimizing model performance and efficiency. Set up monitoring for deployed models to detect drift, bias, and performance degradation.
  • Code Quality & MLOps: Write clean, maintainable, and production-ready Python/PySpark code. Contribute to MLOps practices for automating ML workflows.
  • Troubleshooting: Perform in-depth troubleshooting, debugging, and issue resolution for ML models, data pipelines, and platform-related problems.

About You:

  • You have strong hands-on experience with Microsoft Azure Machine Learning Studio and its associated services.
  • You have proven experience in developing and optimizing data and ML solutions on Azure Databricks using PySpark/Spark SQL.
  • You have excellent proficiency in Python for data manipulation, machine learning, and scripting.
  • You have a solid understanding of core machine learning concepts, algorithms, and model evaluation metrics.
  • You have familiarity with other Azure data services such as Azure Data Lake Storage, Azure Synapse Analytics, and Azure Data Factory.
  • You have good proficiency in SQL for data querying and manipulation.
  • You possess exceptional analytical and problem-solving skills with a methodical approach to complex data science and engineering challenges.
  • You have strong verbal and written communication skills to articulate technical solutions and collaborate effectively within a team.
  • You hold a Bachelor's degree in Computer Science, Data Science, Statistics, or a related technical field.

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