20 Best ML Engineer
Freelancers
to Hire
in 2024
Looking to hire ML Engineer freelancers with the perfect set of skills for your next project? Work with the world's best freelancing talent on Contra.
Emilie Thonat
Spline | Unreal engine | Interactive 3D expert
Christine Straub
Full-Stack AI/ML Software Engineer
Sebastian Avelar →
Experienced Web Developer for Low-Code Projects
Muhammad Hassan
Frontend Focused Fullstack Developer: Next.js & React Expert
Kai Ting Lin
Creative Web Designer & No-Code Builder (Framer & Webflow)
Joaquin Maurtua
Web Dev Expert: Framer & Spline Specialist
Roger Rangel
Creative Technologist - Software + Design
Mehul Sethia
No-Code Dev, AI Enthusiast, Automations Aficionado
Arman Stepanyan
Full stack Web / AI / Blockchain developer
Imad Dhin
Software Developer - Full Stack & AI
Nikol Hayes
Passionate Tech-Savvy Developer 💡
Muhammad Usman
Transforming Ideas with AI and Fullstack Skills 💡
Eugene Upston
Senior Full Stack Developer & 3D Designer
Aayush Garg
CEO of Zappify: NoCode Specialist & Bubble Certified
Unnikrishnan R
Fullstack Developer | Mobile Apps, Web, UI/UX & No-Code Pro
Tristan Pahud
I help brands reach the next level
Sanjib Paul
Creative Designer with Quick Turnaround Time
Chinmay Singhal
⚡Your end to end web solution ⚡
Debo Adebayo
High-End Web Design with Framer + React/NextJS
Mehmet Demir
Web Developer
ML Engineer related skills for your next project
Common projects for ML Engineers
Developing predictive models for business forecasting.
Creating recommendation systems for e-commerce platforms.
Building AI chatbots for customer service.
Implementing machine learning algorithms for data analysis.
Designing and developing neural networks for image or speech recognition.
Working on natural language processing projects for content analysis.
Tips for working with and hiring ML Engineers
Define your project scope
Clearly outline the specific tasks, goals, and deliverables for the machine learning project. This helps the ML engineer understand what you expect and how they can meet those expectations.
Check their technical expertise
Review the ML engineer's skills and experience. They should have a strong background in programming, data modeling, and machine learning algorithms. Also, ensure they are proficient in relevant tools and platforms such as Python, TensorFlow, and Keras.
Communication is crucial
Regularly communicate with the ML engineer about project updates and any adjustments needed. Use Contra's platform for all communication and feedback to keep everything organized and in one place.
Set milestones
For larger projects, it is beneficial to set milestones. This helps in tracking the progress of the project and ensures deliverables are met on time. Remember, each milestone should be funded individually on Contra at the beginning of the project.
How to hire ML Engineers
Define your needs
Start by understanding the specifics of your project. This includes the tasks you need the ML engineer to perform, the goals of the project, and the deliverables you expect.
Post a detailed job
When posting a job on Contra, provide as much detail as possible about the project requirements, necessary skills, and timeline. This will help attract the right ML engineer for your project.
Review applications
Go through the applications and shortlist freelancers based on their skills, experience, and portfolio. Look at their past projects and reviews on their profile to make an informed decision.
Conduct interviews
Interview the shortlisted ML engineers. Ask about their experience with similar projects, their approach to problem-solving, and their proficiency with machine learning tools and frameworks.
Make an offer
Once you've found the right ML engineer, make an offer through Contra. This should include the project details, payment terms, and timeline.
3 questions to ask when interviewing ML Engineers
1. Can you share some examples of machine learning projects you have worked on and the results you achieved?
2. What machine learning frameworks and tools are you most proficient in, and why do you prefer them?
3. How do you approach a new machine learning project, and how do you handle data preprocessing and model validation?
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Why Clients trust Contra
The quality of independents on Contra is top-notch, and the onboarding process is one to model. Being able to speak with a team member to truly understand what we needed as well as offer suggestions of talent in the network was a whole new experience for me.
Love, love, love. Contra is an amazing place to find flexible, creative talent. The process of getting to know independents through their profiles was incredibly easy and fast.
The talent I find on Contra has been excellent. But aside from that, Contra’s community differentiates Contra from other freelancing platforms. I love the responsiveness of the Contra team, and how invested they are in your success. I actually pay freelancers I’ve found outside of Contra through Contra because I love the platform so much, especially that they don’t take a cut of your payment.
I used to waste hours trying to find talent. Switching to Contra was 10x on my time, energy and money as an Entrepeneur and Creator. Lauren was a perfect fit from day one, and I couldn’t have found someone of this calibor without Contra.
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Frequently asked
questions
A freelance machine learning engineer applies predictive models, data mining, and machine learning algorithms to extract patterns from large datasets. These insights can help businesses make data-driven decisions, forecast trends, and improve operational efficiency.
A freelance machine learning engineer applies predictive models, data mining, and machine learning algorithms to extract patterns from large datasets. These insights can help businesses make data-driven decisions, forecast trends, and improve operational efficiency.
Hiring a freelance ML engineer on Contra allows you to access top talent without any commission fees. You can review their portfolio, communicate directly, and manage contracts and payments all within the platform.
ML engineers typically use programming languages like Python or R, and machine learning frameworks such as TensorFlow, Keras, and PyTorch. They may also use data visualization tools like Matplotlib, Seaborn, or Tableau.
You can post a job detailing your project requirements on Contra. ML engineers who match your requirements can then apply for the job. You can also browse through the profiles of ML engineers and invite those you are interested in to apply.
Projects that require machine learning skills often include building predictive models, designing recommendation systems, developing AI chatbots, implementing machine learning algorithms for data analysis, and creating neural networks for tasks like image or speech recognition.
The cost of hiring a ML engineer on Contra can vary based on the complexity of the project, the engineer's experience and skills, and the project duration. On average, ML engineers on Contra charge between $25 and $67 per hour.
Freelance ML engineers on Contra are paid commission-free. They may charge per project, per hour, or per milestone. Each milestone is funded individually at the beginning of the project and held in escrow. The funds for each milestone will only be released after you approve the deliverables for that milestone, or automatically within three days.
How to get started on Contra
Contra for Clients
With Contra, you can discover and hire top-notch talent, manage payments, contracts, and projects, and work the way you want.
Read moreGuide to Discover
This guide will provide the steps to finding your perfect match on Contra using our Discover tool
Read moreHow to Post a Top-Tier Opportunity
If you need an Independent for your next opportunity, you're in the right place. Learn about how you can find your next collaborator.
Read moreHow to hire on Contra
There are three ways to hire on Contra -- we’ll go through all three of these in this article and when to use each one!
Read moreBest Practices for Working with Independents
Thinking about hiring an Independent? Here are some tips to maximize your partnership and collaboration
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