Advanced AI Systems Specialist

Há 3 dias

São Paulo, São Paulo, Brasil beBeeSenior Tempo inteiro US$100.000 - US$150.000

Job Title: Senior AI Performance Engineer

About the Role

We are seeking a seasoned professional to lead the deployment, monitoring, and maintenance of GenAI models in production environments. As a Senior AI Performance Engineer, you will play a pivotal role in advancing our Generative AI (GenAI) capabilities.

The ideal candidate will have a strong background in machine learning fundamentals, model lifecycle management, and software engineering principles. Experience with cloud platforms, containerization, and infrastructure management is also essential.

  • Key Responsibilities:
  • Deploy, monitor, and maintain GenAI models in production environments.
  • Build and maintain efficient data pipelines and storage solutions that support model operations.
  • Utilize cloud platforms for model deployment, containerization, and infrastructure management.
  • Develop CI/CD pipelines, manage version control, and automate deployment processes for seamless operational efficiency.
  • Implement secure coding practices, authentication, authorization, and set up robust monitoring and alerting systems for both infrastructure and model performance.
  • Deep understanding of LLMs, GenAI architectures, frameworks like Hugging Face, prompt engineering, and specialized infrastructure for GenAI workloads.
  • Apply advanced GenAI techniques like Retrieval-Augmented Generation (RAG), hallucination monitoring, and human-in-the-loop systems.
  • Design and develop agent and multi-agent systems using frameworks like LangChain, enabling them to interact with external APIs and tools efficiently.
  • Implement strategies to manage and reduce the operational costs associated with GenAI deployments.
Qualifications

To be successful in this role, you should have:

  • Bachelor's degree in computer science/engineering or a related field; Master's degree preferred.
  • At least five years' experience as a machine learning engineer, deploying models in production.
  • Strong proficiency in Python and software engineering principles.
  • Solid understanding of machine learning fundamentals and model lifecycle management.
  • Experience with cloud platforms, containerization, and infrastructure management.
  • Familiarity with DevOps practices and automation tools.
  • Expertise in GenAI frameworks, prompt engineering, and model serving.
  • Ability to manage GPU/TPU resources and optimize model serving frameworks.
  • Experience in developing agentic systems and multi-agent architectures.
  • Proven track record in cost optimization in AI deployments.
Benefits

You will be part of a team that is driven by impact and purpose. As a Senior AI Performance Engineer, you will contribute to the advancement of our GenAI capabilities while ensuring practical application and scalability.

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