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AI Engineer II
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AI Summary ✨
Requirements
Experience building, fine-tuning, and deploying ML systems
Strong applied ML fundamentals and AI algorithm proficiency
Hands-on experience with post-deployment tasks
Proficiency in workflow orchestration tools
Familiarity with deploying web services using container orchestration tools
Experience with ML lifecycle tools and inference servers
Proven ability to build reliable CI/CD pipelines
Strong Python programming skills
Problem-solving mindset and effective communication skills
Nice to Haves
Familiarity with agent frameworks like Autogen or LangChain
What You'll Be Doing
Contribute to developing AI agents for task automation
Assist in designing systems for intelligent task planning
Support the implementation of workflows for task routing
Build and maintain monitoring systems for performance tracking
Develop AI/ML pipelines for model training in production
Collaborate with SREs and cross-functional teams
Identify and address AI/ML opportunities for scalability
Stay informed on AI/ML advancements and contribute to team knowledge
Perks and Benefits
This job is accepting ongoing applications
Equal opportunity employer promoting diversity and merit-based hiring
Celebration of diverse talents, backgrounds, and contributions
Apply here
Kraken
Remote EMEA
Kraken
Remote EMEA
Experience:
Senior
Posted:
December 6, 2024
Kubernetes
Python
machinelearning
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