Machine Learning Engineers On Demand

Build Intelligent Systems with Expert Machine Learning Engineers

Design, train, deploy, and scale machine learning solutions with Brocsoft’s top Machine Learning Engineers. Access pre-vetted talent on demand to turn data into production-ready models that drive real business outcomes.

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Types of Machine Learning Engineering Our Talent Powers

Machine learning model development

Design, train, and optimize supervised and unsupervised models for real-world applications.

Predictive analytics & forecasting

Build models for demand forecasting, churn prediction, risk scoring, and recommendations.

Natural language processing (NLP)

Develop text classification, sentiment analysis, semantic search, and language-based models.

Computer vision systems

Create models for image classification, object detection, facial recognition, and video analytics.

ML deployment & MLOps

Operationalize models with CI/CD pipelines, monitoring, versioning, and automated retraining.

Staff Augmentation vs In-House Hiring

Staff Augmentation
In-House Hiring
Time to Hire
1-2 weeks
2-3 months
Cost
Lower, no overhead
Higher (benefits, taxes)
Commitment
Flexible, on-demand
Long-term only
Scalability
Easy to scale up or down
Difficult
Administrative Load
Minimal
High
Talent Pool
LATAM or anywhere you need
Local
Staff Augmentation
In-House Hiring

Custom ML Engineers Teams Built for Your Goals

Need more than one Machine Learning Engineer? We assemble full ML squads including Data Scientists, ML Engineers, Data Engineers, MLOps specialists, and QA experts, ready to support experimentation, deployment, and scaling.

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Machine Learning Engineers Specialized in Your Tech Stack

Technically Vetted
English Proficient
Timezone Aligned
Programming Languages
ML & Deep Learning Frameworks
Data & Feature Engineering
MLOps & Deployment
Cloud Platforms
AI & ML Applications

Heading

HTML5
CSS3
Javascript
React
Angular
Vue.js
TypeScript
Webpack
Sass
Swift
Kotlin
Java
Flutter
Android Studio
Xcode
Figma
Adobe XD
Sketch
Miro
Zeplin
Balsamiq
Jira
Asana
Trello
Monday
Slack
Confluence
Excel
Project
Python
TensorFlow
PyTorch
scikit-learn
mlflow
kubernetes
docker
apache airflow
Opencv
hugging face
transformers
ONNX
LangChain
AWS
google cloud
Microsoft Azure
Terraform
AWS cloudformation
Ansible
Prometheus
Jenkins
git
Grafana
Scala
apache spark
apache hadoop
kafka
SQL
snowflake
Google BigQuery
Amazon Redshift
R
Jupyter
pandas
numpy
tableau
Selenium
cypress
junit5
testng
postman
appium
testrail
cucumber
GO
Ruby
.NET
mongoDB
redis
postgreSQL
rest
graphql
node
Jquery
Apache Tapestry
Spring Boot
Android SDK
Retrofit
Firebase Messaging
GitHub
Meet
PHP
Laravel
SCSS
AEM
Apache Jackrabbit
Redux
Material UI
Django
Next.js
DynamoDB
Wordpress
MySQL
GSuite
Objective-C
JWT
C#
Flask
Express.js
Cassandra
DigitalOcean
gRPC
WebSocket
CI-CD
OAuth 2
SSL/TLS
Ruby on Rails
Dart
Svelte
Xamarin
iOS SDK
Jetpack Compose
UIKit
Fastlane
Bitrise
App Store
Google Play
GitLab CI
CircleCI
Vercel
Netlify
AWS Amplify
Firebase Hosting
OneSignal
Sentry
AWS Glue
Amazon EMR
Google Cloud Dataflow
Azure Data Factory
Azure Synapse
AWS Device Farm
BrowserStack
Sauce Labs
Firebase Test Lab
Zephyr
XRay
Azure DevOps
Bootstrap
Chakra UI
Tailwind
Recoil
Zustand
Context API
Jest
Playwright
Mocha
Storybook
Lighthouse
SEO
WCAG
Web Vitals
Lottie Animations
XCTest
Espresso
Detox
AWS AppSync
Cloud Firestore
Microservices
Puppeteer
TestCafe
Newman
Karate Labs
K6
REST assured
Locust
Gatling
JMeter
Flink
NiFi
Talend
dbt
Databricks
S3
HDFS
Delta Lake
Azure Blob Storage
Power BI
Looker
Julia
XGBoost
Keras
LightGBM
Plotly
Matplotlib
Seaborn
Google AI Platform
Azure Machine Learning
OpenAI API
spaCy
NLTK
After Effects
Principle
Illustrator
Photoshop
Maze
Lookback
Hotjar
Zeroheight
Abstract
InVision
Framer
Serverless
C++
SageMaker
Anthropic Claude
Linear
ClickUp
Scrum
Kanban
Lean
SAFe
Google Analytics
Google Workspace
Loom
Notion
ProductBoard
ARM
Pulumi
AWS IAM
Zero Trust
Bitbucket
Elastic Stack (ELK)
Datadog
new relic
Kubeflow

How to Find the Best Machine Learning Engineers

 Schedule an exploratory call

Let’s align on your business goals, use cases, data readiness, and technical requirements.

Talent matching

Within days, we identify and introduce top-tier Machine Learning Engineers or fully assembled ML teams that fit your needs.

Start fast and stay aligned

Accelerate delivery with ML engineers who move seamlessly from experimentation to production.

Schedule a Call

Brocsoft By the Numbers

150

Devs Ready to
Onboard

8

Countries

100%

Project
Completion Rate

24hs

For your
Perfect Match

success stories

Projects That Make Us Proud

Staff Augmentation

Guiding an AI-Powered Sports Startup Through Its Most Critical Build Phase

View Success Story
Staff Augmentation

Helping a Growing Healthcare Provider Scale Their Telehealth Solution

View Success Story
Staff Augmentation

Helping an AdTech Company Build a Complex Frontend Interface

View Success Story

FAQs about Hiring Machine Learning Engineers

How quickly can I hire machine learning engineers through Brocsoft?

We can match you with pre-vetted Machine Learning Engineers in as little as 24 hours.

Can your ML engineers work with our existing data and infrastructure?

Yes. They integrate seamlessly with your current data pipelines, cloud platforms, and systems.

Do your engineers handle both modeling and deployment?

Absolutely. Our ML engineers cover the full lifecycle, from data preparation and training to deployment and monitoring.

What kinds of projects can your ML engineers develop?

Our engineers handle everything from predictive models, recommendation engines, and NLP solutions to computer vision systems and production-ready ML platforms.

Do you offer short-term or project-based engagements?

Both. Whether you need a ML engineer for a few months to solve a specific problem or a dedicated resource for a long-term initiative, our flexible staff augmentation model adapts to your needs.

What time zones do your ML engineers work in?

Our machine learning engineers are based in Latin America, working in U.S.-friendly time zones for real-time collaboration with North American teams.

How much does it cost to hire machine learning engineers on demand?

Rates depend on the engineer’s seniority, specialization, and engagement length. However, hiring through Brocsoft typically costs 30–50% less than in-house hires while delivering equal or better expertise.

Get the Expert Help Your Project Needs in 24 Hours

Tell us what you need, and we’ll match you with the right React developer to make it happen.

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info@brocsoft.com
+1 (512) 810-0941
700 River St, Austin TX 78701 US