Machine Learning Engineer
Build, Scale & Optimize Data‑driven Products with Nearshore Experts
Machine Learning Engineers design, build and relentlessly optimize the pipelines and services that turn data‑science prototypes into secure, revenue‑generating products. From scalable data pipelines to low‑latency inference endpoints, they keep your models performing as your business and data evolve.
Chosen by Fast-Growing Teams
Key Focus Areas
Handling fragmented data sources, model drift, and deployment complexity can stall machine‑learning initiatives. Our Machine Learning Engineers cut through that fog by focusing on the high‑impact domains that close the gap between research and production.
Data Acquisition
& PipelinesData Acquisition & Pipelines
Design resilient batch/stream pipelines that ingest, transform and deliver trustworthy data/feature sets.Real-time
InferenceReal-time Inference
Serve low-latency predictions via micro-services or streaming frameworks, with monitoring for drift & quality.Modeling & Algorithm
DevelopmentModeling & Algorithm Development
Frame problems, choose algorithms, train, validate, and optimize statistical/ML models.Model Deployment
& ServingModel Deployment & Serving
Package, containerize, and ship models into production (batch, REST/gRPC, edge).ML Ops & Lifecycle
AutomationML Ops & Lifecycle Automation
Automate CI/CD for ML: version data/models, orchestrate retrains, manage feature stores, monitor performance.Tools & Technologies
Below, you’ll see some of the most-used tools & technologies across the the lifecycle stages a Machine Learning Engineer typically works on. 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
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 Machine Learning Engineers
8 years Mercado Libre Netflix
LucÃa
Recommender systems, model optimization, large-scale data
Past Companies
6 years iFood Bosch
Thiago
Computer vision, edge inference, MLOps automation
Past Companies
7 years Scanntech Duolingo
Valeria
NLP, LLM fine-tuning, prompt engineering
Past Companies
10 years Rappi Citibank
Carlos
Fraud detection, real-time streaming models
Past Companies
5 years Falabella Nestlé
MarÃa
Time-series forecasting, demand planning analytics
Past Companies
9 years Belcorp Deloitte
José
Model governance & compliance in regulated industries
Past Companies
U.S. Hiring vs Abstra Nearshore Savings
Get an Estimated Total Cost of Ownership (TCO) for hiring in the U.S. in under 60 seconds with our cost calculator, then see how much you could save with nearshore hiring.
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
Our professionals seamlessly integrate into your team, boosting your capabilities and driving your projects forward.
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.