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Less than 30 hrs/week
Hours needed
1 to 3 months
Duration
Intermediate
Experience level
We are seeking a skilled freelancer to program our EDM machine, specifically the Charmille Agie E600. The ideal candidate will have exp…
Less than 30 hrs/week
Hours needed
Less than 1 month
Duration
Intermediate
Experience level
I have a script that implements running apriori algorithm and then son algorithm on a dataset to generate the candidates (singles, doub…
$250
Fixed-price
Expert
Experience level
Need a Python Computer Vision developer for image to 3D model development of a face. We are using modelscope for this but an older vers…
Less than 30 hrs/week
Hours needed
Less than 1 month
Duration
Expert
Experience level
You are tasked with building an algorithm that determines the absolute fastest way to collect 5 materials. To collect materials you wil…
$150,000
Fixed-price
Expert
Experience level
Looking to license an automated stock trading algorithm with a minimum live track record of 6-12 months. Willing to pay multiple six f…
$100
Fixed-price
Expert
Experience level
We are seeking an experienced machine learning expert to improve the accuracy of our stock market prediction model and generate reliabl…
$500
Fixed-price
Expert
Experience level
We are looking for a skilled and experienced developer to build a system that allows - users to scan a physical product brochure (e.g…
$2,500
Fixed-price
Expert
Experience level
We are seeking a skilled freelancer to help us train price prediction models and integrate third-party data into our current codebase.…
$200
Fixed-price
Expert
Experience level
Hey there! We're on the lookout for an Object Detection and Tracking Expert to help us tackle an exciting project. If you have a solid…
$200
Fixed-price
Expert
Experience level
I've been working on improving the search functionality for our project using Vertex AI Search for retail. So far, I've managed to inde…
can earn $25–$50/hr.
$25 $50
Median hourly rates (USD)
How to Become a Freelance Machine Learning Engineer
Considered a branch of artificial intelligence, machine learning is the practice of computer science where data and algorithms are used to replicate human learning. As machines learn, they show a gradual improvement in their accuracy and effectiveness.
If you have a passion for data science, computer science, artificial intelligence, and cutting-edge technology, you may have what it takes to become a freelance machine learning engineer.
What does a freelance machine learning engineer do?
Machine learning engineers also referred to as data scientists,, are responsible for designing and building artificial intelligence-based algorithms whose purpose is to continuously learn. To ensure the algorithms continue to learn, machine learning engineers are tasked with assessing, analyzing, and organizing more data in order to optimize machine learning capability.
Freelance machine learning engineers are called upon by a variety of clients across multiple industries to incorporate machine learning capability into their operations. Often undertaken as part of an organization’s overall artificial intelligence initiative, machine learning projects are often implemented to streamline tasks historically handled by humans. As a result, staff can be deployed to handle more customer-facing, value-added tasks. As more companies implement these types of changes, the demand for machine learning freelancers will continue to grow.
What skills do I need to become a freelance machine learning engineer?
There are a variety of skills machine learning engineers should possess when positioning themselves as freelancers. Clients will ask data scientists to handle a number of tasks during the course of their engagement. To accomplish these tasks successfully, machine learning engineers should leverage their skills to keep clients happy and position themselves to be hired again.
Common skills freelance machine learning engineers should possess include:
- Thorough understanding of the principles of deep learning and machine learning. These skills all work in concert to enable machine learning engineers to leverage all available technology to ensure machine learning achieves its purpose—handling tasks while continuing to learn.
- Software engineering skills. Machine learning engineers should be adept at handling a variety of software engineering responsibilities, including writing algorithms, natural language processing (NLP), an understanding of approximate algorithms—or algorithms that approximate solutions in order to help solve problems, understanding data structures, and knowledge of computer architecture.
- Familiarity with data science. An ML engineer will be dealing with large datasets and needs to know how to process them via Python, Java, and SQL. In addition, machine learning engineers should have knowledge of data modeling, big data, hypothesis testing, and mathematics proficiency.
- Problem-solving skills. Machine learning is no different. When engineers write algorithms designed for automation, challenges and obstacles must be overcome in order to deliver solutions that successfully streamline the intended work. Replicating human logic requires extensive software development and solving problems, even before they occur, is a skill clients look for in machine learning engineers.
- Time management skills. Excellent time management skills allow freelancers to successfully juggle complex, competing priorities and arrive at solutions that meet client objectives.
- Communication skills. Most machine learning projects involve extensive teamwork and collaboration with various stakeholders. Communicating effectively, in writing and verbally, goes a long way in eliminating misunderstanding, providing project clarity, and articulating potential alternatives that may be more suitable in the long run.
- A healthy curiosity, especially regarding technology. Virtually all computer programming and algorithm-based work involves a high degree of curiosity. A healthy curiosity often separates exceptional freelance machine learning engineers from average ones who struggle to find work.
What are the core freelance machine learning job responsibilities
Freelancers in machine learning engineer roles will be asked by clients to handle various duties during the course of an engagement.
Core freelance ML engineer responsibilities include:
- Leveraging machine learning systems and predictive models to create solutions for answering customer questions online and directing those interested in more information to our sales staff
- Collaborating with other data engineers in and outside of the AI department to deliver 360-degree customer-centered solutions
- Build and test ML algorithms designed to design 3D modules for engineering projects
- Conceptualize and recommend machine learning models that deliver automated training to global staff.
Should I get a degree or certification to become a freelance machine learning engineer?
You’ll need knowledge in computer science, data science, or a related field to start getting work with machine learning. That said, it does sometimes help to have a professional degree especially since that’s where many get started digging into machine learning algorithms and machine learning models.
Some examples of popular degrees or certifications to become a freelance machine learning engineer include:
- A bachelor’s degree, master’s degree, or Ph.D. in computer science, mathematics, statistics, machine learning, deep learning, neural networks, or an equivalent field of study from an accredited college or university
- Professional Certificate Program in Machine Learning & Artificial Intelligence—offered by MIT
- Machine Learning with Python—offered by IBM through Coursera
- Certification of Professional Achievement in Data Sciences—offered by Columbia University Data Science Institute
Jumpstart your freelance career and become a machine learning expert on Upwork and start looking for your first job. Eager to learn more about machine learning jobs on Upwork? Check out these additional resources:
Upwork is not affiliated with and does not sponsor or endorse any of the tools or services discussed in this section. These tools and services are provided only as potential options, and each reader and company should take the time needed to adequately analyse and determine the tools or services that would best fit their specific needs and situation.
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