Senior MLOps Engineer (Perú)

Senior MLOps Engineer (Perú)

02 set
|
FullStack
|
Perú

02 set

FullStack

Perú

About FullStack

FullStack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities, AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows value every step of the way. With now over 600 customers in North America, FullStack is one integrated partner for all your AI engineering needs. With FullStack, you move forward with confidence.

We’re Most Proud Of

Offering life-changing career opportunities to talented software professionals across the Americas.
Building highly-skilled software development teams for hundreds of the world’s greatest companies.
Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
Our 4.1-star rating on GlassDoor.
Our client Net Promoter Score of 68, twice the industry average.

The Opportunity

Join our talent network and connect with U.S. clients for adaptable,



project-based development work as a Senior MLOps Engineer.

You will integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis.

What We're Looking For

5+ years of professional experience in Software Engineering, MLOps, ML Engineering.
Advanced English is required.
Successful completion of a four-year college degree is required.
Extensive experience building and operating MLOps platforms and production machine learning workflows.
Hands-on experience with Vertex AI, MLflow, Kubeflow, or similar MLOps tooling.
Strong background in feature stores, feature pipelines, SQL, and data workflows.
Proven experience developing backend services using Python, Go, Ruby, JavaScript, or similar languages.
Demonstrated experience working with GCP or other major cloud platforms such as AWS or Azure.
Practical experience implementing A/B testing and

📌 Senior MLOps Engineer (Perú)
🏢 FullStack
📍 Perú

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