We connect you with the best tech talent globally. You run the business, we handle EOR, payroll, compliance & benefits for the world's best price.
✓ 4,000명 이상의 검증된 인재
✓ 투명한 가격 정책
✓ 98% 고객 유지율
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인재 풀
전 세계 어디서나 규정을 준수하며 채용하세요
제공 혜택
Designs, trains, and deploys ML models using Python and modern AI frameworks. Implements scalable pipelines for data processing, experimentation, and inference.
Frames business problems as ML tasks with clear success metrics. Chooses appropriate algorithms and iterates quickly based on results.
Understands how data, models, and services interact in production. Designs end-to-end AI systems, from data ingestion to model serving and monitoring.
Writes modular, well-documented ML and data code. Builds reproducible experiments with tests, versioning, and clear configs.
Works closely with product, data, and engineering teams. Explains complex AI concepts in simple terms and aligns with business goals.
Owns models from research to production and ongoing improvement. Monitors performance, addresses drift, and continuously refines solutions over time.
양식
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글로벌 기술 선도 기업인 HP는 고성과 팀을 구축하여 혁신과 글로벌 운영을 지원함으로써 채용 비용을 59% 절감했습니다
“제품이나 서비스만큼 중요한 것은 바로 그 뒤에 있는 사람들입니다. 우리 내부 팀과 Team up 간의 소통은 매우 훌륭했습니다. 문화와 가치관, 아이디어가 서로 비슷해 최선의 방식으로 소통하기가 매우 수월했습니다.”
“Team Up과 함께한 지난 시간은 늘 만족스러웠습니다. 짧은 시간 안에 우수한 인재를 채용할 수 있도록 도와주었으며, 채용부터 지속적인 팀 지원까지 매우 신뢰할 수 있는 파트너였습니다. 특히 지원자의 높은 수준과 긴밀하고 실질적인 협업이 인상적이었습니다. 업무적인 측면을 넘어, 트빌리시에서 정기적으로 만나며 쌓은 신뢰 관계가 큰 힘이 되었습니다.”
자주 묻는 질문
Emerging tech hubs, such as Eastern Europe, the Caucasus, and South Africa, offer strong talent in Machine Learning (Python, scikit-learn, XGBoost), Deep Learning (PyTorch, TensorFlow, Keras), and MLOps/Cloud (AWS SageMaker, Azure ML, Docker, Kubernetes).
NLP, recommendation systems, and data modeling for analytics and forecasting are also rapidly growing, especially in markets like Georgia, Armenia, and Egypt.
Use structured technical assessments combined with live coding sessions and project-based tests. Platforms like HackerRank or Codility help standardize evaluation.
For deeper insight, have senior AI Engineers review code samples or pair program during interviews to check real-world problem-solving ability.
Common issues include:
Time zone overlap and scheduling delays
Inconsistent communication practices
Varied familiarity with Western project management styles
Working with a local Employer of Record (EOR) or staff augmentation provider helps bridge these gaps by handling compliance, contracts, and onboarding.
Cultural alignment comes from clear expectations, regular check-ins, and shared tools.
Hold weekly standups, use asynchronous tools like Slack or Notion, and establish communication norms early.
AI Engineers from emerging markets are often fluent in English and familiar with international teams, especially those with prior EU or U.S. experience.
Average salaries vary by region and seniority. For example:
Mid-level developers: $1,800–$3,000/month
Senior developers: $3,000–$4,500/month
Compensation is generally 40–60% lower than in Western Europe, with similar skill levels. Using an EOR ensures all taxes and social contributions are handled locally.
Request verified references and portfolio links (GitHub, GitLab, or LinkedIn).
For critical hires, use third-party background checks or rely on recruitment partners with local presence who can validate employment history and credentials.
Each country has its own employment, tax, and data protection laws.
Hiring directly can trigger permanent establishment risk. Partnering with an EOR (Employer of Record) or international staffing provider ensures contracts, payroll taxes, and benefits comply with local regulations.
Prepare a standardized onboarding playbook—including technical setup, documentation access, and team introductions.
Ensure equipment, software licenses, and communication tools are ready before the start date.
EOR partners can also manage local onboarding, equipment delivery, and payroll registration.
It depends on your goals:
Full-time via EOR: Best for long-term growth and stability.
Contract or freelance: Ideal for short-term or project-based work.
Staff augmentation via agency: Offers vetted talent and flexibility without compliance risk.
Blending models is often most effective for scaling engineering capacity.
Focus on overlap hours, typically 3–5 per day, and use asynchronous workflows for the rest.
Tools like Jira, Notion, and Loom help keep communication seamless.
The Caucasus, Eastern Europe, and MENA regions align well with both the EU and U.S. East Coast time zones, making collaboration smoother.
Hiring great AI Engineers has never been more critical, or more complicated. Markets are global, teams are remote, and compliance rules are tightening. Yet, the need for AI Engineers keeps climbing.
According to the US Bureau of Labor Statistics, demand for software developers will grow by 15% from 2024 to 2034, far outpacing every other profession. Meanwhile, only about 1% of the workforce actually works in software development. For every business building AI-powered products, that mismatch creates a problem: too few qualified AI Engineers, too much competition, and too many legal hurdles when hiring across borders.
That's where a modern Employer of Record (EOR) model changes the game. Team Up's EOR structure lets you hire and legally employ full-time AI Engineers in over ten key growth markets, including Georgia, Armenia, Azerbaijan, Turkey, Egypt, and across the Caucasus Region, Eastern Europe, Uzbekistan, Kazakhstan, and India.
Most companies still recruit locally, but that model fails when local salaries inflate, and talent pools dry up. A mid-level US AI Engineer earns well into six figures, even before benefits. Additionally, legal complexity rises as hiring abroad means juggling tax laws, labor codes, and cross-border payroll rules.
Companies are turning to emerging markets like Georgia, Turkey, and Armenia for:
An Employer of Record (EOR) is your legal hiring partner. It employs AI Engineers on your behalf, so you don't need to incorporate a local entity or learn every country's tax system.
While you manage the day-to-day work, the EOR service provider manages:
Hiring abroad as contractors without a proper structure risks employee misclassification fines, tax penalties, and lost IP ownership.
Traditional expansion requires legal entity setup costs ($3,000–$10,000) and monthly audits. The EOR model provides a flat monthly fee, zero setup time, and 100% local compliance.
If you're ready to expand your team, start by comparing the total monthly employment cost (salary + tax + fee) against the risks of local hiring. Global hiring with the right Employer of Record isn't just about outsourcing; it's about building a sustainable, legally protected, and high-performing distributed workforce.
