Azure ML Engineer

1 week ago


Bengaluru, Karnataka, India Notus Full time
Azure ML Engineer

Overview :


The Senior Azure ML Engineer plays a crucial role in our organization, leveraging the Azure Machine Learning platform to develop, deploy, and maintain machine learning solutions.

This position is essential for driving innovation and ensuring the successful implementation of machine learning models to solve complex business challenges.


Key Responsibilities :

  • Collaborate with data scientists and stakeholders to understand project requirements
  • Design and implement endtoend machine learning solutions on Azure ML platform
  • Develop, test, and deploy machine learning models using Python
  • Optimize and troubleshoot machine learning models for performance and scalability
  • Work with big data technologies to preprocess and explore data
  • Ensure compliance, security, and best practices in ML solution development
  • Create and maintain relevant documentation and reports
  • Provide technical leadership and mentorship to junior team members
  • Stay updated with the latest trends and advancements in Azure ML and machine learning
  • Collaborate with crossfunctional teams to integrate machine learning solutions into business processes

Required Qualifications :

  • Bachelor's or higher degree in Computer Science, Engineering, or related field
  • Proven experience (6+ years) in designing and developing machine learning models on Azure ML platform
  • Expertise in Python programming for machine learning and data manipulation
  • Strong understanding of statistical analysis and data science concepts
  • Experience in working with SQL and relational databases
  • Proficiency in big data technologies such as Spark or Hadoop
  • Excellent understanding of machine learning algorithms and techniques
  • Solid knowledge of Azure cloud services and infrastructure
  • Strong problemsolving and analytical skills
  • Effective communication and collaboration skills
  • Ability to work effectively in a fastpaced and dynamic environment
  • Relevant certifications in Azure, machine learning, or data science
  • Experience in deploying and maintaining production ML models
  • Demonstrated ability to drive innovation and deliver highquality results
  • Experience in creating and maintaining technical documentation
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