What you need to bring:
· 3-5 years of relevant experience in the industry delivering scalable cloud/cloud-native solutions with ETL pipelines.
· Bachelor's or Master's in Computer Science, Information Systems, Machine Learning, Engineering, or equivalent
· At least 2 years of hands-on expertise in defining, building, training and / or optimizing AI/ML models at scale in any of the popular ML frameworks.
· Deep Understanding in Multi-agent/RAG/Advanced RAG applications, Prompt Engineering Techniques, Fine-tuning LLMs with an eye on inference performance.
· Familiarity with toolchains like Llamaindex, Langchain etc. is desirable.
· Must have strong knowledge of application failure modes, resiliency patterns, and techniques to enable robust, self-healing designs.
· Ability to effectively communicate product design proposals and negotiate with other stakeholders to achieve design consensus.
· Must be able to work in a global, complex, and diverse environment.
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