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Hop on a call with us and share your requirements. After the call we’ll review our talent pool to find the perfect candidate for you, ensuring a great match.
Leading Brands trust us
Ivan Janjić
Fullstack Developer
Stefan Mićić
Machine Learning Developer and Data Engineer
Aleksandar Pavlović
Data Scientist
Nemanja Milićević
Data Scientist
Darko Simic
Fullstack Developer
Previously at
Experience our in-house-like model and hire proven Machine Learning Engineer in just 4 steps!
Hop on a call with us and share your requirements. After the call we’ll review our talent pool to find the perfect candidate for you, ensuring a great match.
Prepare your questions, because we’ll set up a call with your developer, giving you the chance to ask questions and assess their fit for your project.
Enjoy a 30-day trial! If your chosen developer isn't the right fit, you can cancel at no charge or request a better replacement.
We take care of the end-to-end administration, allowing you to concentrate on what truly matters - building your product.
We’ll match you with vetted Machine Learning that suits your requirements. It typically takes 2 working days, allowing you to focus on growth instead of hiring.
Our rigorous vetting process combines Advanced AI assessments with expert human evaluation to ensure only top talent makes it through.
Our 30-day trial lets you work with experts before a longer-term commitment. Plus, cancel or replace the talent anytime without fee.
We handle everything from contracts and compliance to payments and performance tracking, allowing you to focus on your project.
Read answers to the most common questions about hiring Machine Learning Engineers.
FatCat Coders distinguishes its Machine Learning engineers through a combination of rigorous vetting, rapid deployment, and comprehensive support:
Rigorous Vetting Process: Each engineer undergoes a thorough evaluation to ensure they possess the necessary skills and experience to meet diverse project requirements.
Swift Deployment: Recognizing the importance of timely project initiation, FatCat Coders can match clients with suitable developers typically within just two working days.
Comprehensive Support: Beyond providing top-tier talent, FatCat Coders manages administrative tasks such as legal, payroll, and other logistical aspects, allowing clients to focus solely on project development.
This approach ensures that clients receive highly qualified Machine Learning engineers promptly, with the added benefit of streamlined administrative processes.
We prioritize fast and efficient hiring. Depending on your requirements, FatCat Coders can connect you with skilled professionals within 48 hours, ensuring your project gets started without delay.
To hire a Machine Learning engineer, start by defining your project requirements, including technical skills like Python, TensorFlow, or PyTorch, and relevant domain expertise. Write a clear job description outlining responsibilities, necessary skills, and desired experience. Source candidates through platforms like LinkedIn, freelance sites, or specialized agencies such as FatCat Coders. Evaluate applicants through technical assessments, portfolio reviews, and interviews focusing on problem-solving and communication skills. Consider offering a trial period to assess their fit for your project, then onboard them with clear goals and access to necessary tools.
Yes, you can hire Machine Learning engineers on an hourly basis or for project-based tasks, depending on your specific needs. Hourly engagements are ideal for ongoing support, smaller tasks, or quick consultations, while project-based hiring works best for well-defined objectives such as building, deploying, or optimizing machine learning models. FatCat Coders offers flexible engagement models, allowing you to choose the structure that aligns with your project requirements and budget.
Our work-proven Machine Learning Engineers are ready to join your remote team today. Choose the one that fits your needs and start a 30-day trial.