AI Specialist

1 dia atrás

Goiânia, Goiás, Brasil beBeeArtificialIntelligence Tempo inteiro R$1.154.000 - R$1.410.000
Transforming Payments with AI: A High-Performance Role

We are seeking an experienced and skilled AI Engineer to join our team. As a key member of our organization, you will play a pivotal role in designing and deploying AI systems that ensure scalability, reliability, and performance.

You will be responsible for developing and optimizing AI models for robustness, explainability, and efficiency. Additionally, you will build and maintain production-grade infrastructure for AI applications, including APIs, data pipelines, and services.

Key Responsibilities:
  • AI System Design and Deployment: Design and deploy high-performance AI systems that meet the needs of our business.
  • Model Development and Optimization: Develop and optimize AI models for robustness, explainability, and efficiency.
  • Infrastructure Management: Build and maintain production-grade infrastructure for AI applications, including APIs, data pipelines, and services.
  • CI/CD Pipeline Implementation: Implement CI/CD pipelines for AI model deployment and updates.
  • Collaboration and Communication: Collaborate with data scientists, software engineers, and stakeholders to translate business requirements into actionable AI solutions.
  • Security and Compliance: Ensure AI systems comply with industry best practices regarding security, privacy, and ethical standards.

The ideal candidate will have hands-on experience in Data Science, Machine Learning Engineering, or closely related roles. Proven expertise in developing impactful products leveraging advanced AI services is also required. Strong programming skills in Python, with demonstrated experience in developing high-quality, maintainable code, are essential.

Requirements:
  • Data Science and Machine Learning Expertise: Hands-on experience in Data Science, Machine Learning Engineering, or closely related roles.
  • Cloud Platforms: Proficiency with cloud platforms (AWS, GCP, Azure), including deploying AI services and managing cloud resources.
  • Containerization and Orchestration: Experience with containerization tools (Docker) and orchestration platforms (Kubernetes).
  • CICD Tools and Processes: Strong knowledge of CI/CD tools and processes.
  • Data Engineering Concepts: Solid understanding of data engineering concepts, ETL processes, and data pipeline architectures.
  • Monitoring and Logging: Experience with monitoring and logging solutions for AI systems.
  • Security Standards: Awareness of security standards and compliance requirements relevant to AI and data-driven systems.

This is a fantastic opportunity to work with cutting-edge technology and contribute to innovative solutions. We offer a competitive salary, comprehensive benefits package, and opportunities for growth and development.

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