Hire Machine Learning Engineers – ML Development Services
Scale your engineering capacity with top-tier Machine Learning talent in your time zone.
Stop Struggling to Find Senior AI & ML Talent
Sourcing qualified machine learning developers locally often results in long vacancies and inflated budget requirements. The demand for senior engineers capable of building production-ready AI models far outstrips the domestic supply.
Unosquare provides a proven alternative. We connect you with ml engineers nearshore located in the Americas. Our professionals work in your time zone, possess cultural affinity with US teams, and maintain full professional proficiency in English. This alignment allows for real-time collaboration without the friction of offshore time gaps.
Learn more about our company and our distributed delivery model.
Enterprise-Grade Machine Learning Expertise
Our engineers are supported by Unosquare’s Data & Analytics Center of Excellence, ensuring they stay current with the rapidly changing AI ecosystem. Whether you need predictive modeling, natural language processing (NLP), or computer vision, our machine learning developers bring verified technical skills to your project.
| Technology Name | Category | Use Case |
|---|---|---|
| TensorFlow | Framework | Deep learning models and neural networks |
| PyTorch | Framework | Research-focused prototyping and production deployment |
| Scikit-learn | Library | Traditional ML algorithms (regression, clustering) |
| Kubeflow | MLOps | Orchestrating deployments on Kubernetes |
| Pandas / NumPy | Data Manipulation | Data cleaning, analysis, and transformation |
| AWS SageMaker | Platform | Building, training, and deploying models at scale |
| OpenCV | Computer Vision | Real-time image processing |
Flexible Engagement Models
We adapt to your organizational structure and project needs. Choose the model that fits your current roadmap:
- Capacity (Staff Augmentation): Rapidly scale your existing team with individual ai ml engineers to close skill gaps and meet deadlines.
- Dedicated Teams: Deploy a self-managed squad including QA, Scrum Masters, and developers to own specific modules or products.
- Outcomes: Utilize our services for project-based delivery where we take responsibility for the final implementation.
ML Solutions for Regulated Industries
Developing AI for financial services and healthcare requires more than just algorithmic skill; it demands a strict adherence to compliance and security. Unosquare specializes in these high-trust environments.
Our engineers understand the constraints of SOC2 and HIPAA environments. We build secure, audit-ready code, ensuring your intellectual property and user data remain protected throughout the development lifecycle.
Why Leading CTOs Choose Unosquare
We prioritize long-term partnerships over transactional staffing.
- Consistency: Our 98% Client Retention rate demonstrates our ability to deliver value year after year.
- Talent Stability: With a 76 Employee NPS, we attract and keep top talent by fostering a culture of family and growth. Low attrition means your project knowledge stays on your team.
- Transparency: You maintain total visibility into the management and progress of your resources.
Frequently Asked Questions
How fast can you staff a Machine Learning team?
We typically present qualified candidates within 10 business days. Once selected, onboarding usually takes another 2 weeks, allowing us to deploy resources significantly faster than traditional hiring cycles.
How do your rates compare to US-based hiring?
Our nearshore model is cost-efficient compared to hiring full-time US employees, often reducing total cost of ownership by 30-40% while maintaining higher quality and communication standards than offshore alternatives.
Is English proficiency mandatory for your engineers?
Yes. All Unosquare professionals must demonstrate fluent English proficiency. We interview for communication skills as rigorously as we do for technical ability to ensure seamless integration with your internal stakeholders.
Do you provide senior AI ML engineers?
Absolutely. We focus on mid-to-senior level talent. Our engineers often have years of experience implementing models in production environments, not just theoretical academic knowledge.
Ready to Build Your Team?
Let’s discuss your technical requirements and find the right experts for your data initiatives.