Toptal is a marketplace for top remote machine learning engineers. Top companies and start-ups in Austin choose Toptal Machine Learning freelancers for their mission-critical initiatives.
We've been blown away by the level of talent we've been able to hire through Toptal.
Machine Learning Engineer
Johnathan has 15 years of experience writing web apps that span consumer productivity software to mission critical financial trading platforms. He has exten...sive knowledge of front-end JavaScript and browser APIs as well as significant experience with popular frameworks and libraries like React and Redux. His deep full-stack experience includes Node.js and Express, MongoDB as well as more traditional technologies like PHP, ASP.NET, and MySQL
Machine Learning Engineer
Lawrence has a PhD in physics from the University of New Mexico. He has been a professional software developer for the past seven years. In this time, he's... developed software across multiple languages with an expertise in LabVIEW and Python. He has created embedded software, data analyses, and machine learning algorithms. Lawrence is an extremely fast learner—allowing him to overcome challenges quickly.
Machine Learning Engineer
Michael has over 20 years of experience as a professional developer as well as over 15 years of experience as a full-stack web and data developer with curre...nt expertise in React, .Net Core, C#, SQL, Bootstrap, Python, and many scientific and machine learning frameworks. He has developed solutions for large organizations such as Walmart and Home Depot and has developed full-stack solutions for startup companies from inception to launch.
Machine Learning Engineer
Abhijeet is a data scientist and engineer with 3 years of experience working for companies of all sizes, from Google to startups. He specializes in machine... learning and deep learning for natural language processing (NLP) and computer vision (CV). In addition, he is familiar with many data processing libraries. Abhijeet takes pride in his clean and maintainable Python code but has rapidly picked up languages including C++, Java, and JavaScript.
Machine Learning Engineer
Vlad is very good at finding efficient solutions to software problems. With proven experience in many different web technologies, he excels at choosing the... best way to turn ideas into well-designed applications.
Machine Learning Engineer
Dallas has 22 years of database application development experience. He has worked with SQL servers and Oracle and he is comfortable with both Windows and Li...nux. He also has experience with data analytics on OLAP platforms and data mining. Furthermore, Dallas has extensive experience with ETL tools such as SSIS and IBM's DataStage. He also writes articles for the MSSQLTips.com website.
Machine Learning Engineer
Andrey is a full-stack, mobile, and systems developer who's worked at top companies such as Google, Dropbox, Apple, and Jump Trading. He's also completed hi...s master's degree in computer science at the University of Illinois at Urbana-Champaign with a focus on machine learning. He possesses in-depth knowledge of C++ and Python, having worked with them for over seven years and has experience developing in Java, JavaScript, and Swift.
Machine Learning Engineer
Isaac has experience developing and deploying machine learning solutions to problems across various domains including computer vision, signal processing, fa...ilure prediction, time series forecasting, network security, natural language processing, and 3D reconstruction. Isaac has worked in both small and large organizations and has led projects from idealization to product deployment.
Machine Learning Engineer
Levi has nearly a decade of experience in applied data science in a variety of industries with a concentration in the insurance industry. He's passionate ab...out solving challenging problems that others find difficult or impossible. He's comfortable working independently and collaborating on teams. He is most at home in small startups with experience in enterprise as well.
Machine Learning Engineer
Eva is a skilled back-end developer and machine learning engineer with experience in scalability issues, system administration, and more. She has a flair fo...r well-structured, readable, and maintainable applications and excellent knowledge of Python, Ruby, and Go. She is a quick learner and has worked in teams of all sizes.
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Unwanted AI bias is already a widespread problem. Machine learning models can replicate or exacerbate existing biases, often in ways that are not detected until release. So what can be done about it?
For a successful natural language processing project, collecting and preparing data, building resilient pipelines, and getting "model ready" can easily take months of effort even with the most talented engineers. But what if we could reduce the data required to a fraction? In this article, we’ll cover how transfer learning is making world-class models open source and introduce BERT (bidirectional encoder representations from transformers). BERT is the most powerful NLP “tool” to date. We’ll explore how it works and why it will change the way companies execute NLP projects.
Natural language processing (NLP) has become one of the most researched subjects in the field of AI. This interest is driven by applications that have been brought to market in recent years. In this article, Toptal Deep Learning Developer Maximilian Hopf introduces you to Google’s Natural Language API and Google AutoML Natural Language.
Top Machine Learning Engineers are in high demand.
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