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Hire Machine Learning Engineer: Nearshore Staff Augmentation

Hire a machine learning engineer through our flexible staff augmentation services. Whether you need a senior or semi-senior ML engineer, we provide tailored solutions to build intelligent systems, automate workflows, and gain predictive insights. Hire a Machine Learning Engineer today.

Let's make a switch
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WHAT WE DO
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Need a
Machine Learning Engineer?

Looking to hire a Machine Learning Engineer for your project? Switch Software provides expert ML development services, offering senior and semi-senior engineers to design, train, and deploy AI models that solve real-world problems and deliver scalable, intelligent solutions.

Experience

Machine Learning Engineers

Trust Through Transparency

Our engineers are encouraged to speak openly, fostering a transparent work environment where challenges are addressed in real time.

Diverse Skill Sets

Each professional we provide is supported by our specialized Studios, ensuring expert guidance and excellence across technologies.

Passionate & Committed

 Through our curated Studio network, we offer top, passionate & committed professionals with long tenures.

Flexible Hiring

 Options for seamless team integration

An Expedited Recruitment

Quickly onboard the right talent for your needs.

The Benefits of Hiring Senior & Semi-Senior Machine Learning Engineers

Senior ML Engineer

End-to-End Expertise: Design, build, and deploy advanced machine learning pipelines and MLOps frameworks for scalable production systems.
Model Optimization: Tackle complex data problems with cutting-edge algorithms, model tuning, and experimentation strategies.
Leadership: Lead ML teams, mentor junior engineers, and align AI strategies with business goals.
MLOps Mastery: Build CI/CD pipelines for model deployment using tools like MLflow, TensorFlow, SageMaker, Airflow, Docker, and Kubernetes.

Semi-Senior ML Engineer

Model Development: Assist in designing and training ML models using structured and unstructured data.
Data Preparation & Feature Engineering: Manage data pipelines, clean datasets, and generate effective features to support model accuracy.
Cost-Effective Talent: Access skilled professionals who deliver high-impact AI solutions at a competitive rate.
Tool Proficiency: Skilled in Python, SQL, cloud services (AWS, GCP, Azure), notebooks, and ML frameworks.
process

Our Process for Hiring Machine Learning Engineers Through Staff Augmentation

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Discuss your project

Identify the experts

Meet your new team

Start Working

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services
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Machine Learning Engineering
Services We Provide

Custom ML Model Development

Our engineers build custom ML models tailored to your unique business challenges, from data exploration to model deployment.

MLOps & Model Deployment

Using best practices and automated workflows, streamline the deployment, monitoring, and retraining of ML models in production.

Natural Language Processing (NLP)

Build language models, sentiment analysis tools, and text-based automations for intelligent customer interactions.

Computer Vision Solutions

Our engineers develop vision-based AI systems using CNNs, object detection, and image classification technologies.

Predictive Analytics & Forecasting

Leverage historical data to make accurate predictions and drive smarter business decisions.

Data Engineering for ML

Prepare data pipelines, manage large datasets, and ensure quality input data for accurate model performance.

Dedicated ML Development Teams

Need experienced ML engineers for your AI projects? We provide dedicated teams skilled in delivering impactful and scalable AI solutions.

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faq
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Frequently Asked Questions
Asked Question

How Do I Hire a Machine Learning Engineer Through Switch Software?

Contact our team, and we’ll assess your project requirements to match you with a senior or semi-senior Machine Learning Engineer. Our streamlined hiring process ensures we provide the best talent for your business to build and deploy intelligent ML systems.

What’s the Difference Between a Senior and a Semi-Senior Machine Learning Engineer?

A senior ML engineer focuses on designing full-scale ML architectures, implementing advanced models, and managing AI strategies. A semi-senior ML engineer contributes to model development, data preparation, and testing under senior guidance, offering valuable support in AI-driven projects.

What is a Machine Learning Engineer?

A Machine Learning Engineer is a specialized software engineer who builds systems that can learn and improve from data without being explicitly programmed. They work with algorithms, data processing pipelines, and cloud platforms to deliver predictive and intelligent solutions.

What Does a Machine Learning Engineer Do?

A machine learning engineer develops, trains, and deploys ML models that automate tasks, detect patterns, and make predictions. They collaborate with data scientists and software teams to build systems that deliver measurable business value through AI.

Machine Learning Engineer vs Data Scientist: What’s the Difference?

A Machine Learning Engineer focuses on deploying models into scalable software systems, ensuring performance in production. On the other hand, a Data Scientist emphasizes data exploration and statistical modeling to generate insights. The roles often overlap but differ in their technical implementation focus.

Why work with an AWS Partner?

Hiring an AWS Partner offers significant advantages for businesses looking to design, build, migrate, or manage workloads and applications on Amazon Web Services. AWS partners bring expertise and experience that can accelerate your cloud journey and maximize your return on investment (ROI).

Harness the power of intelligent insights

Let´s Work Together