Design, develop, and implement cloud-based solutions using Microsoft Azure and Databricks platforms; Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions; Develop and deploy machine learning models and algorithms to solve complex business problems; Implement quality controls and ensure data integrity, accuracy, and reliability throughout the cloud-based systems; Optimize and fine-tune cloud-based solutions for performance, scalability, and cost-efficiency
Requirements:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field; 4-5+ years of relevant experience in engineering, machine learning, technology, or a related area; Proven experience as a Cloud Engineer, with a focus on Microsoft Azure and Databricks platforms; Strong expertise in machine learning techniques, algorithms, and frameworks; Experience in implementing quality controls and ensuring data integrity in cloud-based systems
Text:
AI/ML Engineer Design, develop, and implement cloud-based solutions using Microsoft Azure and Databricks platforms; Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions; Develop and deploy machine learning models and algorithms to solve complex business problems; Implement quality controls and ensure data integrity, accuracy, and reliability throughout the cloud-based systems; Optimize and fine-tune cloud-based solutions for performance, scalability, and cost-efficiency Bachelor's or Master's degree in Computer Science, Engineering, or a related field; 4-5+ years of relevant experience in engineering, machine learning, technology, or a related area; Proven experience as a Cloud Engineer, with a focus on Microsoft Azure and Databricks platforms; Strong expertise in machine learning techniques, algorithms, and frameworks; Experience in implementing quality controls and ensuring data integrity in cloud-based systems
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