Job Description
Shape the future of MLOps as a Lead Software Engineer at the Enterprise Data & Analytics Enablement team, focusing on AWS. Drive innovation and elevate machine learning operations throughout the Analytics Platform.
This hands-on role demands a mix of technical authority and practical engineering skills. As you lead the MLOps team, you'll design and build production-grade capabilities, ensuring solutions align with best practices. Your mentorship will raise the engineering benchmark across teams.
Key Responsibilities:
• Lead architecture discussions for MLOps solutions
• Develop scalable, production-grade ML platforms
• Engage in hands-on engineering for high-quality services
• Ensure robust, secure, and efficient cloud solutions
• Review code and design processes to enhance quality
Requirements:
• Extensive hands-on AWS experience
• Strong knowledge of CI/CD and observability tools
• Ability to mentor engineers effectively
• Expertise in Python, Java...
This hands-on role demands a mix of technical authority and practical engineering skills. As you lead the MLOps team, you'll design and build production-grade capabilities, ensuring solutions align with best practices. Your mentorship will raise the engineering benchmark across teams.
Key Responsibilities:
• Lead architecture discussions for MLOps solutions
• Develop scalable, production-grade ML platforms
• Engage in hands-on engineering for high-quality services
• Ensure robust, secure, and efficient cloud solutions
• Review code and design processes to enhance quality
Requirements:
• Extensive hands-on AWS experience
• Strong knowledge of CI/CD and observability tools
• Ability to mentor engineers effectively
• Expertise in Python, Java...
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