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Best Russian-speaking freelance ML Engineers to hire in 2025

Looking to hire Russian-speaking ML Engineers for your next project? Browse the world’s best freelance ML Engineers on Contra.

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Logo for Wix StudioLogo for RiveLogo for WebstudioLogo for GlorifyLogo for JitterLogo for FlutterFlowLogo for PeachWebLogo for CanvaLogo for Lottie FilesLogo for Workshop BuiltLogo for BuildshipLogo for AppsumoLogo for FramerLogo for BarrelLogo for BubbleLogo for LummiLogo for WebflowLogo for GrayscaleLogo for Stride UXLogo for InstantLogo for SplineLogo for KittlLogo for RelumeLogo for HeyGenLogo for Replo
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ML Engineer(1)
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Aliaksei Chymba
Belarus
Cover image for Question Answer App for Medicine Instructions
Cover image for Stable Diffusion Fine-Tuning
Cover image for Sentiment Analysis of Financial Records
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ML Engineer(3)
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Michael Tawk
Lebanon
Cover image for Predict Remaining Life of Pipe
Cover image for Predicting Lira Price Through Twitter Data Analysis
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ML Engineer(2)
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Odilbek Tokhirov
Uzbekistan
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ML Engineer(3)
Cover image for Language-Driven Object Detection/Segmentation (2023)
Cover image for Hybrid Classical/Quantum CNN and MTCS for Chess (2022)
Cover image for Humana Mays Healthcare Analytics Case Competition (2021)
Cover image for Artificial Data Synthesis for Object Detection Training (2021)
ML Engineer(17)

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FAQs

You should know what you want the project to do. List the goals and how you will know if they are achieved. Also, think about the data you will need and how you will get it. Have an idea of your timeline and any special tools you want them to use.
Review their portfolio and past projects to see if they have done similar work. Check for any certifications or degrees in machine learning or related fields. Ask for client feedback or ratings on their previous work. This will help ensure they have the right skills for your project.
You should list all the tasks you need them to complete. Define what each deliverable should look like and its purpose. Set clear deadlines for each part of the project. This will help both you and the engineer stay on track.
It's very important. Decide how often you want to have updates and through which channels, like email or video calls. This will ensure you both stay informed and can address any issues quickly.
Break the project into smaller parts and estimate how long each part should take. Consider any potential roadblocks, like data issues or testing problems. Discuss these timelines with the ML engineer to make sure they are doable. This will help keep the project on schedule.
Make sure to use secure data storage and transfer methods. Use access controls to limit who can see the data. Discuss these security measures with the engineer to ensure they follow best practices. This keeps your data safe.
Ask for examples of past challenges they have solved in other projects. You can also look for case studies or articles they have written. Their approach should be clear and thoughtful to handle unexpected problems that come up in your project.
Feedback helps ensure the engineer knows how to improve their work to meet your needs. Plan regular check-ins where you can give and receive feedback. This helps the engineer understand your expectations and deliver better results.
Use collaboration tools like shared documents and cloud storage. Schedule regular meetings to discuss progress and any issues. Establishing these practices from the start keeps everyone aligned and the project running smoothly.
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