Senior MLOps Engineer (Brazil) - Advertising

Leading provider of nearshore staff augmentation services headquartered in New York, delivering top-tier technology solutions with 600+ tech professionals.
Machine Learning
Senior Software Engineer
Remote
501 - 1,000 Employees
AI

Description For Senior MLOps Engineer (Brazil) - Advertising

Truelogic, a New York-based leader in nearshore staff augmentation, is seeking a Senior MLOps Engineer for their client's cutting-edge AI/ML engineering team. The client is a globally recognized network that combines creativity and engineering expertise, partnering with businesses across finance, healthcare, media, and e-commerce sectors.

As a Senior MLOps Engineer, you'll be responsible for designing and implementing MLOps pipelines, managing cloud-based resources, and optimizing AI/ML infrastructure. The role involves working on transformative technologies, from audience segmentation to advanced language modeling, solving real-world problems for top-tier clients.

The ideal candidate should have extensive experience with machine learning model deployment, container orchestration, and infrastructure-as-code frameworks. Strong expertise in cloud environments, streaming data platforms, and CI/CD pipelines is essential. You'll be working with a team of 600+ professionals across 25+ countries, contributing to innovative, high-impact projects.

The position offers excellent benefits including 100% remote work flexibility, competitive USD compensation, paid time off, and work autonomy. You'll be joining a culture that values work-life balance and professional growth, working alongside senior talent in a diverse, global network. This is an opportunity to shape the future of AI/ML implementation while working with industry-leading U.S. companies.

Last updated 3 days ago

Responsibilities For Senior MLOps Engineer (Brazil) - Advertising

  • Design and implement MLOps pipelines to ensure consistency across the organization
  • Configure and manage cloud-based resources to support AI/ML workloads
  • Automate model deployment and management through scripts and tools
  • Collaborate with data scientists and engineers to develop tailored MLOps solutions
  • Monitor and optimize AI/ML infrastructure performance, identifying and resolving bottlenecks

Requirements For Senior MLOps Engineer (Brazil) - Advertising

Python
Kubernetes
  • Extensive experience deploying machine learning models to cloud environments
  • Strong expertise in container orchestration tools
  • Proficiency in infrastructure-as-code (IaC) frameworks for cloud resource management
  • Hands-on experience with streaming data platforms
  • Solid understanding of data cleaning, transformation, and ETL processes
  • Experience with CI/CD tools and pipelines

Benefits For Senior MLOps Engineer (Brazil) - Advertising

  • 100% Remote Work
  • Highly Competitive USD Pay
  • Paid Time Off
  • Work with Autonomy
  • Work with Top American Companies

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