MLOps Engineer
Deploy and Maintain ML Systems with Nearshore MLOps Experts
MLOps Engineers bring stability and speed to your machine learning operations. From automated CI/CD pipelines to robust monitoring systems, they make sure your models move from notebook to production, and stay there, securely and reliably. With a blend of ML know-how and DevOps rigor, they unlock scalability across environments and teams.
Chosen by Fast-Growing Teams
Key Focus Areas
When it comes to machine learning in production, the challenges are rarely about modeling, they’re about everything else. Broken pipelines, silent failures, version conflicts, and unmonitored drift derail good ideas. Our MLOps Engineers clear these blockers and enable your team to move fast without breaking things. Here’s how:
Data Acquisition
& PipelinesData Acquisition & Pipelines
Design resilient batch/stream pipelines that ingest, transform and deliver trustworthy data/feature sets.Tooling & Platform
EnablementTooling & Platform Enablement
Provision version-controlled, self-service tooling to speed delivery.Real-time
InferenceReal-time Inference
Serve low-latency predictions via micro-services or streaming frameworks, with monitoring for drift & quality.Model Deployment
& ServingModel Deployment & Serving
Package, containerize, and ship models into production.ML Ops & Lifecycle
AutomationML Ops & Lifecycle Automation
Automate CI/CD for ML: version data/models, orchestrate retrains, manage feature stores, monitor performance.Tools & Technologies
Our MLOps Engineers work within a modern ML operations stack that ensures reliability, reproducibility, and speed across every stage of the ML journey, from ingestion to production. They implement pipelines that enable fast iteration, cross-team collaboration, and safe rollouts.
Below are some of our most-used tools & technologies; the MLOps specialists own the subset for deployment, observability, and governance. If your stack runs on something else, let us know: our team adapts to any platform.
Lifecycle Stages
Ingest & Organize
Acquire, clean, and structure data with governed pipelines, scalable storage, and platform enablement so information is reliable, secure, and discoverable.
Explore & Understand
Turn raw tables into business context through storytelling, dashboards, KPI definitions, and analytics that surface opportunities and risks.
Model & Experiment
Design experiments and causal analyses; develop, validate, and tune models and features; add real-time inference where instant decisions matter.
Deploy & Operate
Ship models to production with CI/CD and serving, monitor performance and drift, automate retraining, and feed insights back into the next iteration.
Acquire, clean, and structure data with governed pipelines, scalable storage, and platform enablement so information is reliable, secure, and discoverable.
Turn raw tables into business context through storytelling, dashboards, KPI definitions, and analytics that surface opportunities and risks.
Design experiments and causal analyses; develop, validate, and tune models and features; add real-time inference where instant decisions matter.
Ship models to production with CI/CD and serving, monitor performance and drift, automate retraining, and feed insights back into the next iteration.
Meet Some of Our MLOps Engineers
8 years Itaú BairesDev
João
CI/CD for ML, scalable Kubernetes clusters, model serving
Past Companies
6 years Globant Mercado Libre
Lucía
ML observability, feature store integration, monitoring pipelines
Past Companies
7 years Rappi ThoughtWorks
Andrés
Model versioning, rollout strategies, data validation in CI/CD
Past Companies
9 years dLocal Oracle
Sofía
Multi-cloud MLOps, reproducibility, governance at scale
Past Companies
5 years Belcorp Interbank
Mateo
Real-time inference pipelines, REST API model deployment
Past Companies
10 years JelaSoft Kimberly-Clark
Gabriela
Infrastructure automation, secure ML environments, CI/CD
Past Companies
U.S. Hiring vs Abstra Nearshore Savings
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Why Abstra Is Your Ideal Partner
Fast and Flexible
Fast and Flexible
Our adaptability and agile processes enable us to swiftly meet your project needs, delivering tech solutions aligned with your timelines and goals.
Partnership-Oriented
Partnership-Oriented
Through open communication and mutual trust, we create collaborative relationships that drive sustained success and growth.
US-Trained Leadership
US-Trained Leadership
Our US-trained founders bring a wealth of technical knowledge and a deep understanding of the US and LATAM markets.
15 Years of Experience
15 Years of Experience
Our expertise spans a variety of industries. We tailor our solutions to meet the needs of each company, regardless of its size or sectorWhat Are the Different Ways to Hire Our Team?
Staff Augmentation
Dedicated Teams
We provide complete software teams that become integral to your organization, working collaboratively to achieve your business goals.
Software Outsourcing
Our experienced project managers and software teams handle your projects from start to finish, delivering tailored solutions that meet your requirements.
Managed IT Services
We offer comprehensive management of your IT services, ensuring smooth operations and optimal performance of your tech stack.
Ready to take the next step?
Frequently Asked Questions
Can Abstra supply a full team or just one role?
Both. We can provide a single specialist to fill a specific gap or build out an entire cross-functional team tailored to your project.