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    Azure ML Engineer - Chennai, India - Notus

    Notus
    Notus Chennai, India

    7 hours ago

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    Description
    Azure ML Engineer


    Overview:

    The Senior Azure ML Engineer is a key player in our team, using the Azure Machine Learning platform to create, implement, and manage machine learning solutions.

    This role is crucial for fostering creativity and ensuring the effective application of machine learning models to tackle intricate business problems.


    Key Responsibilities:

    • Collaborate with data scientists and stakeholders to grasp project requirements
    • Design and deploy end-to-end machine learning solutions on Azure ML platform
    • Develop, assess, and implement machine learning models using Python
    • Enhance and troubleshoot machine learning models for efficiency and scalability
    • Utilize big data technologies for data preprocessing and exploration
    • Ensure adherence to compliance, security, and best practices in ML solution development
    • Create and manage pertinent documentation and reports
    • Offer technical guidance and support to junior team members
    • Stay abreast of the latest developments and trends in Azure ML and machine learning
    • Work with interdisciplinary teams to integrate machine learning solutions into business operations

    Required Qualifications:

    • Bachelor's degree or higher in Computer Science, Engineering, or a related field
    • Demonstrated expertise (6+ years) in designing and crafting machine learning models on Azure ML platform
    • Proficiency in Python coding for machine learning and data handling
    • Thorough understanding of statistical analysis and data science principles
    • Experience with SQL and relational databases
    • Skillfulness in big data technologies like Spark or Hadoop
    • Comprehensive knowledge of machine learning algorithms and methodologies
    • Solid grasp of Azure cloud services and infrastructure
    • Strong analytical and problem-solving aptitude
    • Effective collaboration and communication skills
    • Ability to thrive in a fast-paced and dynamic setting
    • Pertinent certifications in Azure, machine learning, or data science
    • Hands-on experience in deploying and managing production ML models
    • Demonstrated capability to foster innovation and deliver top-notch outcomes
    • Experience in generating and maintaining technical documentation
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