How to Hire a Part-time Machine Learning Engineer
Machine Learning is a rapidly-growing field that is revolutionizing the way businesses work and collect data. The process of machine learning involves teaching computers to learn from data without being explicitly programmed. It’s used in a variety of industries to improve efficiency and accuracy.
Many businesses that want to invest in the benefits of machine learning hire machine learning engineers. These experts are responsible for developing and implementing machine learning systems and algorithms.
The Services That Machine Learning Engineers Can Offer
A freelance machine learning engineer can offer a wide range of services that provide valuable insights and expertise, allowing businesses to achieve success in today’s competitive market. Some of these services include:
- ML Consulting
A machine learning freelancer can offer consulting services. This involves working with clients to identify their ML needs and determine the best approach to meeting those needs.
- ML algorithm development
This includes developing algorithms for specific purposes or adapting existing algorithms to meet the needs of a particular application.
- ML modeling
Modeling is also a critical task for freelancer machine learning engineers. This involves creating models that can be used to predict outcomes or trends based on data.
- Deep learning
Some machine learning freelance engineers can also specialize in deep learning. This is a type of machine learning that uses artificial neural networks to learn patterns in data.
- Neural network development
Neural networks are composed of interconnected processing nodes called neurons, which can learn to recognize patterns of input data.
- Computer vision
Computer vision involves using software to interpret digital images and videos so they can be processed by a computer system.
- Business intelligence
Business intelligence involves using data analysis techniques to help businesses make better decisions about their operations and strategies.
- Statistical data analytics
Some machine learning engineer remote experts specializes in statistical data analytics is analyzing large amounts of data in order to identify patterns and trends
- ML app migration
ML app migration is an important process that helps companies move their existing applications over to ML-based systems.
- Custom ML app and software development
A machine learning remote engineer can build custom ML apps and develop software with advanced capabilities such as AR elements, NLP ability, and virtual visualization.
- IoT development
ML and AI freelance engineers are skilled in integrating ML with industrial IoT platforms featuring predictive capabilities.
- ML support
Machine learning and freelance AI experts can offer quality ML support and maintenance services to ensure all ML environments are up and running.
The Difference Between Machine Learning Engineers and Data Scientists
There is a lot of overlap between the roles of machine learning engineers and data scientists, but there are some key differences as well.
Machine learning engineers design and build the systems that implement machine learning algorithms. They work with large amounts of data to find patterns and insights. Data scientists, on the other hand, use those findings to develop models and hypotheses about how businesses can improve their operations.
Data scientists also have a strong business focus, whereas machine learning engineers typically have more technical expertise. Machine learning engineers need to be able to understand complex algorithms and how they can be applied to specific business problems. They also need to be able to write code to implement those algorithms.
Data scientists typically have a more varied background, including experience in statistics, mathematics, computer science, and business analysis. They use this knowledge to develop models that can be used by businesses for predictive analytics or decision-making purposes.
The Skills and Responsibilities of ML Engineers
When hiring freelance AI engineer and machine learning engineers, there are specific aspects to consider. One of the most important things to keep in mind is the ideal skills of these engineers. Some of the most essential skills to look out for include:
- Mathematics and statistics, particularly linear algebra, probability, calculus, and optimization.
- Programming skills in languages such as Python, Java, and C++
- Database technologies, such as SQL and NoSQL
- Data wrangling and cleaning techniques
- Knowledge of ML frameworks and libraries, such as TensorFlow, Keras, and scikit-learn
- Algorithm design and implementation
- Model evaluation and tuning
- Deep learning architectures and techniques
- Natural language processing (NLP) and computer vision
- Business analysis and problem-solving skills
Machine learning engineers use their skills to complete different specialized tasks, including:
- Designing and developing machine learning models and algorithms.
- Collecting and analyzing data to identify trends and patterns.
- Optimizing machine learning algorithms to maximize accuracy and efficiency.
- Building and maintaining databases to store data used for machine learning.
- Testing and validating machine learning models and algorithms.
- Developing applications and systems for implementing machine learning solutions.
- Collaborating with software developers, data engineers, and other data scientists.
- Presenting results of machine learning projects to stakeholders and recommending changes as needed.
- Troubleshooting and debugging machine learning code.
- Evaluating the performance of machine learning models and algorithms to ensure accuracy and efficiency.
The Best Sites to Hire Freelance ML Engineers
Finding the right freelance AI developer or ML engineer to help you with your machine learning project can be a daunting task. Luckily, there are several platforms online that can make the job easier. Some of the best sites to hire freelance ML engineers include:
Upwork is one of the most popular freelance hiring websites. The site allows freelancers to apply for jobs and provides a way for businesses and freelancers to communicate and work together. It has a massive pool of qualified IT experts to choose from, including machine learning engineer freelance experts.
This easy-to-use platform connects businesses with freelancers from all over the world. What makes freelancer.com stand out is its comprehensive database of freelancers.
Toptal is a site that connects businesses with the top 3% of freelance IT experts and freelance data analytics professionals. Businesses can post their project requirements on the Toptal platform and receive proposals from freelancers within minutes.
Fiverr allows businesses to post jobs and specify their budgets and deadlines. Then freelancers can submit proposals outlining their experience and qualifications. This is one of the most affordable platforms to hire machine learning part time freelancers.
This is a leading outsourcing company based in Ukraine that connects businesses around the world with top remote machine learning engineer part time workers.
Hiring in-house vs Outstaffing vs Finding Freelancer ML Engineers
When considering hiring machine learning engineers, it’s important to think about the hiring model. Nowadays, there are many different ways to hire excellent candidates to work on a variety of ML projects. Some of the most popular hiring models include hiring in-house candidates, outstaffing and hiring freelancers. Let’s explore some of the most noteworthy differences:
|In-House||Outstaffing||Hiring Freelance Data Scientists|
|What is it?||Employees are hired to join an existing team in person when hiring in-house.||Outstaffing is the indirect, long-term employment of staff by a third party.||When you hire freelancers, you only hire workers when they are needed for a project.|
|Time involved||Because there may be a lack of talent, hiring employees internally can take a long time.||Outstaffing companies typically have instant access to candidates who are ready to be hired.||Finding the best freelancers can take a lot of time.|
|Cost involved||Cost is mostly determined by average local salaries.||Outstaffing companies typically charge candidates fixed fees.||Rates for freelancers can vary by country and level of experience.|
|Dedication||Employees in-house are devoted to a single employer.||The majority of outstaffing engineers are devoted to a single project at a time.||Freelancers frequently work on multiple projects simultaneously.|
The Cost of Hiring Machine Learning Engineers
The average machine learning developer cost varies depending on location and the level of skill and experience. Let’s explore the average hourly rate of ML engineers from five different countries:
*Ukrainian salaries are provided based on Mobilunity’s Recruitment Team research on the local job markets. All salaries are net and do not include the service fee (in case of hiring on a dedicated team model). The salaries are provided for comparison purposes and could be not entirely accurate. Contact us to know the exact cost of hiring a developer corresponding to the required parameters.
This data demonstrates that hiring remote machine learning and AI developers candidates is significantly less expensive in some countries than in others. For instance, the cost of hiring experts from Ukraine is significantly lower than the cost of hiring the same experts from the United States or the United Kingdom. This is due to Ukraine’s low cost of living even though it has a highly skilled and experienced workforce.
Mobilunity: a Reliable Provider of ML Engineering Services in Ukraine
Mobilunity is an outsourcing company that connects businesses with top-tier engineering talent. We provide access to a network of pre-vetted, highly skilled engineers who can work on your project remotely. Whether you need help with a one-time project or ongoing support, we can connect you with the right engineer for the job.
Mobilunity makes hiring employees a breeze. You can hire part-time engineers from us and only pay for the hours worked. You can save money and gain access to top talent when you need them by doing this.
We are preferred by our customers due to our rapid and effective hiring process. The following steps are included in our strategy:
- Determining and verifying your specific needs;
- Finding and interviewing qualified candidates; and
- Assisting with onboarding and ongoing support.