Job Description & How to Apply Below
This role combines design, engineering, and direct client interaction to address intricate problems with AI technology. You'll utilize expert knowledge of dataset management, AI frameworks, and cloud solutions to translate business challenges into operational excellence. Your leadership will be key in enhancing team proficiency in AI/ML practices.
Key Responsibilities:
• Architect and implement multi-agent systems for AI
• Design and deploy advanced cloud solutions on Kubernetes
• Utilize comprehensive evaluation frameworks for model optimization
• Develop predictive models using frameworks like Py Torch
• Champion best practices in MLOps and CI/CD workflows
Requirements:
• Over 7 years of experience, including 3+ in AI/ML
• Mastery of Python AI tools and evaluation techniques
• Proven ability to build agentic loops and reasoning systems
• Solid foundation in statistics and experimental design
• Strong communication skills in technical domains
Lead the way in AI/ML engineering, ensuring deployment accuracy and operational excellence while collaborating closely with clients.
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