Access skilled Machine Learning Engineers in cost-effective regions. Build, train, and deploy AI models—all while significantly reducing hiring costs.
We source, vet, and onboard the top ML engineers from regions offering the best cost-to-skill ratio.
Why: The Philippines offers affordable AI engineers with expertise in chatbots, AI automation, and predictive analytics. With strong English proficiency, it’s ideal for global teams requiring smooth communication.
Best for: AI-enhanced automation, chatbot development, and NLP projects. Ideal for businesses needing cost-effective AI solutions.
Average Salary: $1,800 – $3,500 per month
Why: US based ML engineers have access to leading AI institutions, top-tier tech companies, and the latest advancements in AI development, making them ideal for highly complex AI projects.
Best for: Companies needing on-site or remote ML engineers with expertise in advanced AI model development, cloud-based AI solutions, and enterprise-level machine learning. Ideal for industries requiring strict compliance (GDPR, HIPAA, SOC 2) and real-time collaboration.
Average Salary: $9,000 – $15,000 per month
Why: Argentina is Latin America’s AI leader, with ML engineers specializing in cloud-based AI, recommendation engines, and NLP. With minimal U.S. time zone differences, it allows for real-time collaboration.
Best for: Nearshore ML engineers for AI automation, financial modeling, and real-time data processing. Great for U.S. companies needing seamless communication.
Average Salary: $2,500 – $4,500 per month
Why: Poland is a top AI hub in Europe, known for highly skilled ML engineers with expertise in neural networks, AI security, and reinforcement learning. The country follows strict EU compliance standards, making it ideal for regulated industries.
Best for: Cybersecurity AI, finance, and enterprise AI solutions. Great for businesses needing nearshore European outsourcing.
Average Salary: $3,000 – $5,500 per month
Why: India has one of the largest AI talent pools, with ML engineers skilled in deep learning, NLP, and big data analytics. With strong STEM education and expertise in TensorFlow, PyTorch, and cloud AI, India offers high-quality AI talent at competitive costs.
Best for: AI product development, automation, predictive analytics, and large-scale data modeling. Ideal for e-commerce, fintech, and healthcare AI.
Average Salary: $1,500 – $2,500 per month
Why: Ukraine has a thriving AI ecosystem, producing ML engineers skilled in computer vision, predictive analytics, and automation. The country offers strong problem-solving talent at 40-60% lower costs than Western Europe.
Best for: R&D projects, AI-powered automation, and SaaS AI applications. Ideal for cost-effective AI expertise in Eastern Europe.
Average Salary: $2,000 – $4,000 per month
We rigorously screen Machine Learning Engineers for expertise in deep learning, NLP, computer vision, and AI automation, ensuring they meet the highest technical standards.
Hire world-class ML engineers for less by outsourcing to cost-efficient regions, reducing expenses while maintaining the highest quality standards.
We reduce hiring time with our AI talent clouds, providing ready-to-work ML engineers who integrate seamlessly into your existing AI and development teams.
Choose from outsourced teams, remote staff augmentation, or direct placement, giving you the flexibility to scale AI projects efficiently without long-term commitments.
With deep expertise in outsourcing, we help businesses hire top ML engineers from talent-rich regions like the Philippines, LATAM, and Eastern Europe.
From sourcing and vetting to onboarding, payroll, and contract management, we handle everything, allowing you to focus on building AI-driven solutions.
See how much you can save by hiring highly skilled ML engineers from cost-effective regions worldwide.
$13,443/month
Average US Salary
$2,083/month*
Average Philippine Salary
84%
Potential savings
$2,917/month*
Average LATAM Salary
78%
Potential savings
VS
Local US Hire | India | LATAM | |
---|---|---|---|
Annual Base Salary | $161,316 | $24,996 | $35,004 |
Payroll Taxes (7.65%-10%) | $16,132 | $0 | $0 |
Benefits (20%-30%) | $32,263 | $0 | $0 |
PTO (5%-10%) | $8,066 | $0 | $0 |
Total Cost | $209,711 | $24,996 (excluding service fees) | $35,004 (excluding service fees) |
Savings | - | $184,715 | $174,707 |
* Salaries shown are based on publicly available data (Indeed, Glassdoor, etc.), showing average rates by role and location. Offshore rates do not include outsourcing provider fees. Please schedule a consultation to receive detailed information tailored to your needs.
We start with a discovery call to understand your AI and ML requirements—whether you need deep learning specialists, NLP experts, or ML engineers to build and scale your AI initiatives. We also discuss tech stack compatibility, project scope, experience level, and hiring preferences.
Our team sources highly skilled ML engineers with expertise in TensorFlow, PyTorch, Scikit-learn, and cloud-based AI solutions. We rigorously vet candidates for algorithm development, data modeling, problem-solving, and compliance with AI best practices, providing you with a shortlist of top talent.
Interview top candidates, select the best fit, and let us handle contracts, onboarding, and payroll. Your new ML engineer will integrate seamlessly into your team, helping to develop, optimize, and deploy cutting-edge AI solutions with speed and precision.
We offer fully managed outsourcing solutions and remote staffing services, handling everything from sourcing and vetting to onboarding and payroll management. Your ML engineer will work as an independent contractor, allowing you to scale efficiently without the overhead of a full-time hire. If you prefer a fully managed outsourcing solution or direct placement, we can also facilitate that based on your hiring needs.
Yes! Our ML engineers have industry-specific experience in finance (fraud detection, algorithmic trading), healthcare (medical imaging, predictive analytics), e-commerce (recommendation engines, customer segmentation), cybersecurity (threat detection, anomaly detection), and SaaS (AI-powered automation, NLP models). We match candidates based on your specific domain and project needs.
We source ML engineers from 150+ countries, allowing us to match talent within or near your time zone. Whether you need a U.S.-based engineer or an expert from Eastern Europe, LATAM, or Asia, we ensure overlapping work hours for smooth collaboration.
Most clients hire a remote ML engineer within 21 days. Our streamlined process includes discovery, sourcing, vetting, and presenting candidates quickly, so you can conduct interviews and make a confident hiring decision without delays.
If your ML engineer isn’t meeting expectations, we offer a replacement at no additional cost. Our risk-free hiring process ensures you only work with top-tier, qualified AI talent who align with your technical needs and business goals.
Casey H
Manger Of Training, Homelight
Danielle R
VP of Client Services, Pentius
Mike M
Owner, Carve Financial
Andrew C
VP Finance, Bluestone Lane
Undisclosed
CEO, Startup Incubator
Undisclosed
HR Manager, Tech Company
Undisclosed
Senior Vendor Manager, Ooma
Undisclosed
HR Manager, Tech Company
Casey H
Manger Of Training, Homelight
Danielle R
VP of Client Services, Pentius
Mike M
Owner, Carve Financial
Andrew C
VP Finance, Bluestone Lane
Undisclosed
CEO, Startup Incubator
Undisclosed
Senior Vendor Manager, Ooma
Undisclosed
Senior Vendor Manager, Ooma
Undisclosed
HR Manager, Tech Company
Undisclosed
CEO, Startup Incubator
Andrew C
VP Finance, Bluestone Lane
Mike M
Owner, Carve Financial
Danielle R
VP of Client Services, Pentius
Casey H
Manger Of Training, Homelight
Casey H
Manger Of Training, Homelight
Danielle R
VP of Client Services, Pentius
Mike M
Owner, Carve Financial
Andrew C
VP Finance, Bluestone Lane
Undisclosed
CEO, Startup Incubator
Undisclosed
HR Manager, Tech Company
Fill skill gaps and scale your team with our top-tier development talent: