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Chief AI Strategist

2 semanas atrás

Rio de Janeiro, Rio de Janeiro, Brasil beBeeMachineLearning Tempo inteiro R$72.000 - R$108.000

Job Overview

We are seeking a highly skilled Machine Learning Expert to join our team.

This role demands not only traditional machine learning expertise but also a deep understanding of Generative AI-specific challenges.

  • Key Responsibilities:
  • Model Deployment & Maintenance: Deploy, monitor, and maintain GenAI models in production, ensuring they function reliably in real-world settings.
  • Data Engineering: Build and maintain efficient data pipelines and storage solutions that support model operations.
  • Infrastructure Management: Utilize cloud platforms (AWS, Azure, GCP) for model deployment, 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 for both infrastructure and model performance.
  • Generative AI Expertise: Deep understanding of LLMs, GenAI architectures, frameworks like Hugging Face, prompt engineering, and specialized infrastructure for GenAI workloads.
  • Advanced Techniques: Apply advanced GenAI techniques like Retrieval-Augmented Generation (RAG), hallucination monitoring, and human-in-the-loop systems.
  • Agent Development: Design and develop agent and multi-agent systems using frameworks like LangChain, enabling them to interact with external APIs and tools efficiently.
  • Cost Optimization: Implement strategies to manage and reduce the operational costs associated with GenAI deployments.

Qualifications:

  • Bachelor's degree in computer science/Engineering, data 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.
  • 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.

Impact & Purpose: We are committed to attracting the best and brightest talent who are driven by impact and purpose. The Machine Learning Expert will play a crucial role in advancing our GenAI capabilities, pushing the boundaries of innovation while ensuring practical application and scalability.