Hire the Top Freelance Deep Learning Developers in the World
Deep Learning Developer
Experienced Deep Learning engineer with seamless project implementation
Loves guacamole & hates spoilers
Stacked portfolio of beautiful, functional websites
Known for his epic charcuterie & cheese boards
Mobile engineering guru with a knack for translating stakeholder needs
Would rather be diving Palau's Blue Corner
Top Deep Learning Developers with UpStack
Radislav is an expert Senior Engineer with 10+ years of experience in the development of solutions for consoles, desktop, web, mobile and hybrid applications; covering different spectrums of tech stacks, tools, and frameworks including Python, Java, NLP, Android, and many more. He is hands-on with data pipelines, machine learning, deep learning, cloud infrastructure, and the extraction of analytics from a multitude of data sources in the iteration of solutions that have a direct and measurable impact on clients. He thrives in a fast-paced environment, values the “team” and leverages the expertise of teammates on projects.
Ruud is a business-minded Data Scientist with 7+ years of technical expertise in the delivery of valuable data-driven solutions and insights on projects via data analytics and advanced data-driven methods. He provides solutions that drive sustainable corporate growth; with gains in customer loyalty and profits.
Steven is a qualified Data Scientist and Data Engineer who develops and deploys full analysis pipelines for Machine Learning and data mining projects on large datasets. He has hands-on experience translating models into business insights and applying data knowledge to real-world business problems. Steven uses various technology stacks to deliver solutions to complex projects using a practical focus and collaborating in cross-functional teams.
Talented Full Stack Developer with 5+ years of experience working for global companies and using a wide array of technologies with a focus on Angular/Node.js. Roko has accumulated expertise in developing, supporting, and maintaining a complex ERP solution at Microsoft, as well as implementing Artificial Intelligence projects in the IoT field. He has the ability to perform to goals, being highly-motivated and eager to develop end-to-end full-stack applications.
Jatin is a Senior Data Engineer/Scientist with 10+ years industry expertise building innovative enterprise data solutions leveraging both cloud and on-prem technologies. He is a self-starter with great communication skills, a solid understanding of data science, advanced statistics, machine learning data mining and visualization techniques. He creates and maintains new data pipelines on projects; leveraging data at scale, implementing critical ETL pipelines and advancing best practices in a fast-paced, collaborative, inclusive, and iterative delivery environment.
Jaime is a versatile data scientist and developer with 4+ years of experience working in all stages of the data science pipeline for different organizations. He is highly-skilled in R and Python, also having direct experience working with Machine Learning, Deep Learning, NLP, and AWS. Achievements include developing several interactive RShiny dashboards and training speech synthesis models by using automatic speech transcription, being a regular contributor to data science projects on GitHub.
Rajeev is passionate about data and machine learning and has more than five years of experience in data science projects across numerous industries and applications. He's currently focused on cutting-edge technologies such as TensorFlow, Keras, deep learning, and most of the Python data science stack. Rajeev has used these skills to solve many real business problems in NLP, image processing, and time series domains.
Moustafa is a Data Scientist with a solid background in applying data science and modelling techniques to tackle complex business problems. He builds and deploys highly performant predictive models - generating insights and making recommendations on products. He is adept at exploring the intersection of real business problems with messy data sets and finding effective ways to simplify and focus on practical solutions that deliver value to clients.
Ahmed is a hands-on Principal Data Scientist who is comfortable working with different IT resources and analytical techniques on projects. He owns and develops state-of-the-art models and provides data solutions that deliver maximum value in automation, financial analytics and business optimizations. He develops algorithm roadmaps for NLP, computer vision and business intelligence solutions on projects.
Hire Deep Learning Developers with UpStack
Hire a highly skilled Deep Learning developer and improve your company with UpStack. The proper candidate should be practical, experienced, responsible and receptive, or your project could get behind. UpStack resolves your hiring troubles by matching your company with vetted senior level Deep Learning programmers. Our highly effective matching process uses advanced artificial intelligence that finds your business an ideal prospect for your forthcoming project. Our blend of A.I. and personal interviews assures an incredible match for your development team. Our ultimate goal is to help you find a Deep Learning developer that can contribute to your organization right away. Through the years we have refined our hiring process, and is now trusted by top startups country wide. Begin your hiring process with UpStack now and start adding talented developers to your staff.
Hiring a Deep Learning developer with upstack couldn't be simpler with our capacity to intelligently match you to the right developer. With UpStack the hiring process is streamlined and takes hours instead of weeks to choose a Deep Learning programmer. Our matching program and expert team will save you time and gets any project started swiftly. UpStack has taken every consideration into account, from the developers availability to the time zone difference between you and the programmer. We're not searching for a good developer fit, we're looking for the perfect one. Simply tell us what skills you're searching for and an UpStack specialist will contact you, it's that easy.
They trust Our Deep Learning Developers
Why hire a Deep Learning developer with UpStack
Top Deep Learning talent pre-vetted for a perfect fit.
Our 8-point assessment evaluation ensures that every senior Deep Learning developer you interview exceeds expectations across technical, cultural, and language criteria.
Hire reliable, passionate Deep Learning developers.
From late-night sprints to jumping on a last-minute face-to-face, we ensure that your recruits are down to get the job done right.
Risk-free 14-day trial.
Confidently onboard candidates with our no-questions-asked trial period. We'll walk you through the contract-to-hire process if and when you're ready to make it permanent with your new Deep Learning engineer.
Our Client Success Experts provide white-glove service.
Stay laser-focused on your business goals while our team of experts curates potential candidates and manages seamless programmer onboarding.
Build your optimal team confidently, quickly.
UpStack handles everything including background and reference checks, legal issues, and more. Our platform streamlines billing, timesheets, and payment all in one easy-to-access place.
Schedule a call with a Client Success Expert to get starting hiring a Deep Learning developer.Start hiring Start hiring Start hiring
Hire from the Best.
Working with our Client Success Experts, we'll help you build the remote team of your dreams with top Deep Learning talent from around the world.
Pre-vetted, reliable Deep Learning developers are standing by.
Hiring Deep Learning Developers | FAQs
How much does it cost to hire a Deep Learning developer?
UpStack has a simple billing model where each Deep Learning developer has a standard hourly rate averaging between $65-$75 per hour. Rates are based on skills, knowledge, and experience, and our developers are available mainly for full-time engagement (40 hours per week) and the occasional part-time opportunity (20 hours per week).
What is the process to find a Deep Learning developer?
You'll connect with an UpStack Client Success Manager to determine your immediate needs. Our team uses a combination of AI and personal assessment to short-list candidates that match your job requirements. From there, you interview, select, and onboard the perfect developer, all within days of your initial call.
How does UpStack find its Deep Learning developers?
UpStack's talent recruitment team connects with software developers around the globe every day. Each Deep Learning programmer is vetted for technical, communication, and other soft skills necessary for a developer to successfully work with your team. Once vetted, the candidates are accepted into the UpStack developer community.
How is UpStack different from an agency or recruiter?
UpStack's community of available, pre-vetted engineering talent means minimizing roadblocks to scaling your team effectively, efficiently, and immediately. Our Client Success Experts work with you and your UpStack developer to ensure a smooth and seamless engagement.
Can I hire UpStack Deep Learning developers directly?
Yes, you can hire UpStack Deep Learning developers at any time, and with the same assurance of smoothly on boarding talent risk-free. First, we'd create a job opening on our portal. Then, we'd vet, interview, and match developers that meet your needs. If you're satisfied at the end of the 14-day trial period, at any time you can directly hire them.