AI Engineer - Marketplace

Join the WorkMotion Talent Marketplace - Your Gateway to Global Remote Opportunities

We’re excited to invite passionate professionals like you to become part of the WorkMotion Talent Marketplace a curated pool of top remote talent connected with forward-thinking, international companies.

Our clients has hired 2000+ talents globally.

Joining the marketplace means stepping into a world of opportunity:
🌍 Collaborate with global teams
🕒 Enjoy flexible, remote-first work setups
🚀 Gain access to exclusive job openings across industries

Working with WorkMotion clients is more than just a job, it’s an opportunity to be part of dynamic, cross-cultural teams where trust, communication, and meaningful impact are the norm. Whether you're applying directly to open roles or being discovered by companies browsing the marketplace, you'll have the chance to grow professionally while working from anywhere in the world.

By applying, you’re taking the first step toward joining our global talent network and by doing so, you agree to share your professional profile and relevant information with WorkMotion and its clients for the purpose of job matching and communication.

Let’s build the future of work, together, from anywhere.

Requirements

Job Summary As a mid-level AI / Machine Learning Engineer, you’ll shape our intelligent automation and analytical capabilities. From building data pipelines to deploying ML models, you’ll enable data-driven features that set us apart in the global HR tech space.

What you’ll do as a Mid-Level AI / ML Engineer…

• Design, train, and optimize machine learning models for various use cases (recommendations, NLP, etc.).
• Implement data pipelines and ETL processes to support model training.
• Collaborate with data scientists and product teams to bring ML features into production.
• Integrate and maintain ML services on cloud platforms.
• Monitor model performance, troubleshoot issues, and iterate for improvement.
• Stay updated on cutting-edge AI/ML research and frameworks.

What we’re looking for…

• 3–5 years of hands-on experience in AI/ML development.
• Proficiency in Python or another high-level programming language.
• Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and cloud ML services.
• Understanding of data structures, algorithms, and model deployment best practices.
• Excellent analytical and problem-solving skills.
• Experience in an agile, fast-paced environment is a plus.

Skills (Tags)

• Machine Learning (TensorFlow, PyTorch, Scikit-learn)
• Python / High-Level Language
• Data Engineering & Pipelines
• NLP, Computer Vision, or Other ML Domains
• Model Deployment & MLOps
• Cloud ML Services (AWS SageMaker, GCP AI Platform, Azure ML)
• Algorithm Design & Optimization

Benefits

🌍 Benefits of Joining the WorkMotion Talent Marketplace

By joining the WorkMotion talent marketplace, you gain access to unique opportunities with leading international companies that value flexibility, innovation, and diverse global perspectives. Here’s what you can look forward to:

• Remote-First Work Environment
  Enjoy the freedom to work from anywhere while staying connected with inspiring teams around the world.
• Access to Global Career Opportunities
  Apply directly to remote roles or be discovered by international companies actively seeking top talent through the marketplace.
• Flexible Work Arrangements
  Work in a way that suits your lifestyle — whether it’s flexible hours, time zones, or work-life balance.
• Diverse, International Culture
  Collaborate with colleagues from different cultures, backgrounds, and industries — fostering growth, learning, and global thinking.
• Simplified Hiring and Onboarding
  WorkMotion handles all the complexities of international hiring, so you can focus on what matters most—your work.

🔐 Data Privacy & Consent

By applying to join the WorkMotion marketplace, you agree to share your personal and professional information with WorkMotion, its hiring partners and its affiliated clients. This allows you to be matched with relevant job opportunities and be contacted directly by employers within the network.

Let us take care of the logistics, while you focus on doing great work — from wherever you are. Welcome to the future of work!