Cloud-based Artificial Intelligence Specialist

Há 7 dias

Buenos Aires Espírito Santo Brazil beBeeMachineLearningEngineer Tempo inteiro R$1.467.000 - R$1.924.000

Job Description

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Machine Learning Engineer Role:

We are seeking a skilled Machine Learning Engineer to join our team. The successful candidate will be responsible for designing, building, and optimizing data workflows for Machine Learning and GenAI solutions in cloud environments.

Key Responsibilities:

  • Design and develop Machine Learning and Generative AI models using AWS SageMaker.
  • Create and manage data pipelines to improve the efficiency of AI and machine learning systems.
  • Prepare and structure data for advanced AI and GenAI solutions.
  • Ensure seamless integration of data and AI solutions within cloud architectures.
  • Document and rigorously test models and workflows to meet accuracy and performance requirements.
  • Monitor and enhance the performance of Machine Learning models and services in production.

Required Skills and Qualifications:

To be successful in this role, you will need:

  • Proven experience as a Machine Learning Engineer or in Data Science roles.
  • Strong skills in data pipelines and Machine Learning model development.
  • Experience working in cloud environments (AWS) for at least 2 years.
  • Solid proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, or similar.
  • Advanced English level.
  • Experience using SageMaker and other AWS data services: S3, AWS Glue, Athena.
  • Proficiency in DevOps tools (Git, pipelines) and infrastructure as code (Terraform, CloudFormation).

Benefits:

In addition to a competitive salary and benefits package, we offer:

  • AWS certifications.
  • 99% discount in Mercado Pago payments.
  • Internet and connectivity.
  • Competitive salary and benefits.
  • English in company.
  • Ability to work remotely.

About Us:

At our organization, we value teamwork, innovation, and continuous learning. We strive to create a collaborative environment that encourages growth and development.

Seniority Level:

Mid-Senior level

Employment Type:

Full-time

Job Function:

Engineering and Information Technology

Industries:

IT Services and IT Consulting

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