Senior MLOps Engineer (Mexico) - 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 (Mexico) - 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.

In this remote position based in Mexico City, you'll be responsible for designing and implementing MLOps pipelines, managing cloud-based resources, and optimizing AI/ML infrastructure. The role involves working with state-of-the-art technologies for audience segmentation and advanced language modeling, delivering scalable and innovative machine learning solutions.

The ideal candidate should have extensive experience with cloud-based ML deployments, container orchestration, infrastructure-as-code, and CI/CD pipelines. Strong skills in data processing, ETL, and streaming platforms are essential. You'll be joining a team of 600+ professionals across 25+ countries, working on transformative projects for leading U.S. companies.

The position offers excellent benefits including competitive USD compensation, flexible remote work arrangements, paid time off, and professional autonomy. You'll be part of a culture that values work-life balance and professional growth, collaborating with senior talent in a diverse, global network. This is an opportunity to work on high-impact projects while contributing to innovative solutions that shape the future of technology.

Last updated 2 days ago

Responsibilities For Senior MLOps Engineer (Mexico) - 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 (Mexico) - 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 (Mexico) - Advertising

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

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