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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.

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 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!

What You Should Know About AI Engineer - Marketplace, WorkMotion

Join WorkMotion as a Mid-Level AI Engineer and dive into the world of innovative tech in our Talent Marketplace. We're on a mission to connect talented professionals, like you, with leading international companies looking for remote AI expertise. You'll be involved in significant projects, enhancing our intelligent automation and analytics capabilities. Your role will include designing, training, and optimizing machine learning models while implementing data pipelines and ETL processes to support those models. The best part? You'll collaborate with brilliant data scientists and product teams, turning exciting ideas into production-ready ML features! With 3-5 years of hands-on experience in AI and machine learning, proficient knowledge of Python, and familiarity with frameworks like TensorFlow or PyTorch, you'll fit right into our diverse and dynamic culture. Those who thrive in agile, fast-paced environments will find the WorkMotion Marketplace an ideal place to develop their skills while enjoying the flexibility of remote work. So what are you waiting for? Step into a future where you can work from anywhere, utilizing your unique skill set to make a global impact with WorkMotion today!

Frequently Asked Questions (FAQs) for AI Engineer - Marketplace Role at WorkMotion
What responsibilities does an AI Engineer at WorkMotion have?

As an AI Engineer at WorkMotion, your main responsibilities will include designing and optimizing machine learning models for various applications such as recommendations and natural language processing. You'll also implement data pipelines and ETL processes to assist model training, collaborate with product teams to integrate ML features, and monitor and troubleshoot model performance.

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What qualifications are needed to become an AI Engineer at WorkMotion?

To qualify for the AI Engineer position at WorkMotion, candidates should possess 3-5 years of hands-on experience in AI and machine learning development. Proficiency in Python or another high-level programming language, as well as familiarity with ML frameworks such as TensorFlow and PyTorch, is essential. Knowledge of data structures and algorithms, along with deployment best practices, is also important.

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What is the work environment like for an AI Engineer at WorkMotion?

At WorkMotion, AI Engineers enjoy a remote-first working environment which allows for flexibility and collaboration with international teams. You'll be part of a diverse, inclusive culture that celebrates global perspectives and fosters growth and learning, along with streamlined hiring and onboarding processes.

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How does WorkMotion support AI Engineers' professional growth?

WorkMotion is committed to supporting the professional growth of its AI Engineers by providing access to exciting global opportunities, flexible work arrangements, and collaboration with innovative teams. You’ll also stay updated on the latest AI/ML research and frameworks which enhances your expertise.

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How can I apply to become an AI Engineer at WorkMotion?

To apply for the AI Engineer position at WorkMotion, interested candidates should submit their professional profiles through our Talent Marketplace. Once you apply, you'll share your information to get matched with relevant job opportunities and connect directly with employers within our network.

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Common Interview Questions for AI Engineer - Marketplace
Can you explain your experience with machine learning frameworks?

When answering this question, discuss the specific frameworks you've used, such as TensorFlow or PyTorch. Mention projects where you applied these tools and the results you achieved, highlighting your hands-on experience and problem-solving skills.

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How do you approach data preprocessing for machine learning?

Explain your methodology for data preprocessing, touching on techniques you use such as normalization, handling missing values, or encoding categorical variables. Provide examples of past datasets and the impact of your preprocessing on model performance.

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Tell us about a time you faced a significant challenge in an AI project.

Share a specific example that highlights your problem-solving abilities. Focus on the challenge, your approach to resolving it, and the outcome. Be sure to convey your analytical skills and teamwork in overcoming the obstacle.

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What methods do you use to optimize machine learning models?

Discuss various optimization techniques you have applied, such as parameter tuning, regularization, or using advanced algorithms. Highlight specific instances where you improved model performance and how metrics were evaluated.

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How do you stay updated with current trends in AI and machine learning?

Mention the resources you utilize, such as research papers, online courses, or industry conferences. Share specific examples of how new knowledge has helped you apply innovative solutions in your projects.

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What do you consider when integrating ML services on cloud platforms?

Speak about the critical factors like scalability, security, and cost-efficiency. Provide examples of cloud services you've used and how you approached deployment while ensuring robust performance.

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Can you describe a successful machine learning project you've worked on?

Detail an AI project that showcases your capabilities, discussing the problem it solved, the approach you took, the technologies you employed, and the measurable impact it had on the organization.

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How do you handle model performance monitoring and troubleshooting?

Describe your strategy for monitoring model performance post-deployment, such as using metrics and alerts. Discuss how you've identified issues in the past and the steps you took to troubleshoot and enhance model performance.

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What’s your experience with data pipelines and ETL processes?

Discuss your involvement with data pipeline creation and maintenance, including tools and technologies you’ve used. Offer insights into how your work in these areas contributes to efficient model training and overall project success.

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How do you prioritize tasks during a project with tight deadlines?

Outline your approach to time management and task prioritization under pressure. Share a specific example that demonstrates your effectiveness in balancing multiple responsibilities within challenging timelines.

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WorkMotion is a global HR platform that enables companies to hire and onboard employees internationally. WorkMotion hire, pays, and manages remote employees from around the world with just a push of a button. Founded in 2020, the company is head...

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Full-time, remote
DATE POSTED
April 10, 2025

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