Desenvolvedor De Sofware I (ml Ops Developer)

Airproducts Com Pl

Not specified (assumed hybrid unless otherwise indicated)
Mlops platform development
Ci/cd pipeline for ml
Monitoring and logging solutions
Air Products is seeking a Desenvolvedor de Software I (ML Ops Developer) to develop and maintain MLOps platforms, CI/CD pipelines, and ensure model governance and infrastructure security. The ideal candidate will have experience in MLOps, cloud computing, and automation, with proficiency in programming languages and tools relevant to machine learning and infrastructure as code

Job Summary

  • Develop, operate, and maintain the MLOps platform to accelerate AI.
  • Collaborate with Enterprise Architects, Data Engineers and Data Scientists to streamline the model development and deployment process.
  • At Air Products, we work in an environment where we put safety first, diversity is essential, inclusion is our culture, and each person knows they belong and matter.

Matching Summary

Match Score: 85

Air Products is seeking a Desenvolvedor de Software I (ML Ops Developer) to develop and maintain MLOps platforms, CI/CD pipelines, and ensure model governance and infrastructure security. The ideal candidate will have experience in MLOps, cloud computing, and automation, with proficiency in programming languages and tools relevant to machine learning and infrastructure as code.

Skills & Requirements

Must-have

  • MLOps Platform development
  • CI/CD pipeline for ML
  • Monitoring and logging solutions
  • Python and Bash proficiency
  • TensorFlow or PyTorch experience
  • Docker and Kubernetes
  • AWS services
  • Infrastructure as Code (IaC)

Nice-to-have

  • Collaboration with architects
  • Automation of workflows
  • Model governance and security
  • Fast-paced environment
  • c3.ai experience

Key Requirements

  • Bachelor’s Degree in Computer Science or related
  • Industrial experience as an MLOps Engineer
  • Minimum of 3 years of experience in IaC
  • Proficiency in Python and Bash
  • Experience with ML frameworks
  • Experience with CI/CD tools
  • Familiarity with containerization
  • Proven hands-on experience managing AWS resources with Terraform
  • Strong understanding of cloud computing concepts and AWS services
  • Experience with common data lake platforms

Work Rights

Not specified

Tailored Resume

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