Senior MLOps Operations Leader
Job Description & How to Apply Below
In this leadership position, you will engage with engineering and product teams to oversee the implementation of MLOps across diverse projects.
Your role will require deep expertise in cloud architecture and development life cycles, ensuring optimal performance of deployed AI applications. You will drive the establishment of industry standards while nurturing a culture of excellence and growth amongst your team.
Key Responsibilities:
• Build and mentor a high-performing engineering team
• Collaborate on strategic product development initiatives
• Ensure reliable AI product deployment and lifecycle management
• Communicate standards and best practices organizationally
• Research and adopt emerging technologies for innovation
Requirements:
• 10+ years in the technology field, especially MLOps
• Proven experience in team leadership and agile coaching
• Familiarity with product deployment technologies
• Strong background in data science and software engineering
• Excellent communication proficiency in English
Lead transformative AI product initiatives through effective team management and strategic vision.
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Position Requirements
10+ Years
work experience
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