ML Ops Engineer
Listed on 2026-08-17
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IT/Tech
Cloud Computing: Infrastructure & Operations, Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Engineering
ML Ops Engineer
Location:
Guadalajara, Mexico
Seniority:Middle
Technologies:Devops, Machine Learning
We are looking for a passionate ML Ops Engineer who would like to work with a top-notch technology stack in a friendly and cozy atmosphere for one of the greatest retail companies in the USA.
Why is this company one of the greatest? Founded in 1901, it prospered through two world wars, the Spanish flu, the Great Depression, the 2020 pandemic, and still produces the highest quality products and services for their customers.
The client's company is based in Seattle with a technology orientation rooted in Silicon Valley. You will work with the cleverest minds, who are eager to build superb services to match business requirements and win market share.
And then there's Zoolatech! Just imagine a workplace and a team environment that you never want to leave once you have found it. Sound enticing?
Ready to build the backbone of search? We're looking for a MLOps Engineer to help the Search Experience Team turn massive datasets into seamless customer journeys.
If you’re an engineer who thrives on building stable, scalable, and resilient ML pipelines, we want you. We're looking for someone obsessed with automation, continuous delivery, and next-gen tech—a self-starter who doesn't just deploy models but ensures they perform at their peak in a high-energy environment.
As part of the Search Experience team, you’ll be at the literal starting point of our customer's journey. You'll help manage the infrastructure that powers millions of queries, directly impacting how our global customers discover what they love and driving billions in demand.
- Build tools for automation around ML workflows orchestration and model deployments using CI/CD workflows
- Automate infrastructure deployments and tool configurations using Terraform or similar IaC tools
- Write clean, maintainable code in Python,Go and other object-oriented programming languages (e.g., Java).
- Troubleshoot and resolve issues related to ML workflow deployments
- Generate and maintain operational reporting pipeline through tools like big query, looker and tableau.
- Collaborate with data scientist to improve developer workflows and ensure seamless integration with tools.
- 3-4 years of experience in MLOps, Dev Ops, or a related role.
- Hands-on experience with at least one of: model deployment, ML pipeline orchestration, model monitoring/drift detection, or ML retraining workflows.
- Proficiency in Python.
- Hands-on experience with Vertex AI, or other similar platforms like Amazon Sage Mager.
- Understanding of different models and their model deployment, monitoring, and scaling in a production environment
- Basic knowledge of reporting tools like Tableau, Looker, Big Query (SQL)
- Experience with e-commerce, understanding general digital e-commerce concepts
- Experience with Kubernetes or other containerized orchestration platforms
- Basic knowledge of cloud technologies (e.g., AWS, GCP)
- Familiarity with security best practices in cloud and containerized environments.
- Ability to write unit tests, integration tests, and provide clean, reusable code.
- Passion for utilizing GenAI to reduce manual processes
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