Senior MLOps Engineer

Jobgether • Brazil

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Design and build scalable ML infrastructure, collaborate with data science teams, and enable self-service ML development and deployment across distributed teams.

Key Highlights

Design and maintain scalable ML infrastructure

Collaborate with data science teams

Enable self-service ML development and deployment

Key Responsibilities

Design, evolve, and maintain scalable ML infrastructure

Build internal platforms, tools, and APIs that enable self-service ML development and deployment

Collaborate with data science and engineering teams to standardize CI/CD, versioning, testing, and observability for ML workflows

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Technical Skills Required

Kubernetes Kubeflow Spark AWS Python Terraform Crossplane

Benefits & Perks

Fully remote position within Brazil

Comprehensive health, dental, and life insurance coverage

Flexible benefits program tailored to individual needs

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Nice to Have

LLMOps

advanced ML orchestration

data governance frameworks

Job Description

This is a high-impact platform engineering role focused on building and scaling the foundational infrastructure that powers machine learning and AI across a global product ecosystem.You will work at the intersection of DevOps, data engineering, and machine learning, enabling teams to deploy and operate AI models at scale with reliability and speed.The role involves designing cloud-native platforms that support the full ML lifecycle, from experimentation to production-grade deployment.You will contribute to building self-service tools and abstractions that empower data scientists and engineers to work autonomously and efficiently.

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