Advanced GenAI Architect

1 dia atrás

São Paulo, São Paulo, Brasil beBeeMachine Tempo inteiro R$900.000 - R$1.200.000
Job Summary:

We are seeking a Senior Machine Learning Engineer to lead the development and deployment of Generative AI (GenAI) solutions. The ideal candidate will possess expertise in traditional machine learning, GenAI architectures, and cloud infrastructure.

This role demands a deep understanding of model lifecycle management, DevOps practices, and automation tools. Experience with containerization, orchestration, and infrastructure as code is essential.

Key Responsibilities:
  • Model Deployment & Maintenance: Deploy, monitor, and maintain GenAI models in production environments, ensuring reliability and scalability.
  • Data Engineering: Design and implement efficient data pipelines and storage solutions that support model operations.
  • Infrastructure Management: Utilize cloud platforms (AWS, Azure, GCP), containerization (Docker), orchestration (Kubernetes), and infrastructure as code (Terraform/CloudFormation).
  • DevOps & Automation: Develop CI/CD pipelines, manage version control (Git), and automate deployment processes for seamless operational efficiency.
  • Security & Monitoring: Implement secure coding practices, authentication, authorization, and set up robust monitoring and alerting systems.
Requirements:
  • Bachelor's degree in computer science 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.
What We Offer:

We are committed to attracting the best talent who are driven by impact and purpose. This role offers opportunities for innovation, collaboration, and professional growth.

Seniority level
  • Mid-Senior level
Employment type
  • Contract
Job function
  • Finance and Information Technology
Industries
  • IT Services and IT Consulting

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