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Hire Deeply Vetted <span>Deep Learning Developer</span>
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Nazar P., Data Scientist

Vinnitsa, Ukraine
Last Updated: 18 Aug 2023

- 0.5 years of experience - Data Scientist with a Machine Learning background - Upper-Intermediate English.

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Deep Learning

Deep Learning   0.5 yr.

Python

Python   0.5 yr.

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Munshi M., Data Analyst

Bangladesh
Last Updated: 23 Apr 2024

- BI professional of waged experience in data analytics, predictive analysis, Google Analytics, Google Ads, Shopify and Omni Chanel Analysis. Experienced in Tableau, Power BI, SAP web intelligence, SQL and VBA. - Have strong conceptual understanding in Telecom, Retail, Banking, NBFI KPI Analysis, Data Visualization, Panel Data Analysis & Omni Marketing Data Analysis.

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Deep Learning

Deep Learning

Tableau

Tableau

Microsoft Power BI

Microsoft Power BI

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Mohsin T., Qlik/Tableau Engineer

Rawalpindi, Pakistan
Last Updated: 23 Apr 2024

- 5 years of experience in developing and maintaining complex Tableau dashboards and reports using multiple data sources for diverse industries - 2 years of experience with Qlik; led the design and development of interactive dashboards using Qlik Sense, Power BI, and Tableau; designed and implemented data models in Qlik Sense, facilitating data discovery and exploration. - Upper-Intermediate English

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Deep Learning

Deep Learning

Tableau

Tableau   5 yr.

Qlik Sense

Qlik Sense   2 yr.

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Krishna N., Data Engineer

India
Last Updated: 4 Jul 2023

- About 6 years of experience in Data Engineering - Upper-Intermediate English. - Available ASAP.

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Deep Learning

Deep Learning   5 yr.

Machine Learning Algorithms

Machine Learning Algorithms   6 yr.

Python

Python   6 yr.

NLP

NLP   6 yr.

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Andriy L., Data Science / Java Software Engineer

Ternopil, Ukraine
Last Updated: 4 Jul 2023
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• 10+ year experience with JAVA and Linux operating systems: Java 11, Spring Boot, Spring Data JPA, MySQL/MongoDB, ElasticSearch, Jenkins CI • Big Data, Data Engineering, NLP, Corpus Linguistics, ML, DL • Design and implement a distributed warehouse system (AWS migration), REST API design and cache implementation (1,000-10,000 requests/sec), Design and implement high-load microservices • Deliver special courses devoted to concurrency and prepared handbook on “Parallel and Distributed Computations” [technologies: (basics of OpenMP, MPI, CUDA, OpenCL), advanced in Java concurrency]; • Scientific projects at university related research increasing effectiveness of crypto-analysis • Upper-Intermediate English • Available Full-time • Ready to start in 2 weeks • No scheduled vacations within next 3months

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Deep Learning

Deep Learning

Java

Java   15 yr.

Hadoop ecosystem

Hadoop ecosystem

Python

Python   3 yr.

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Talk to Our Talent Expert

Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
Manager
Maria Lapko
Global Partnership Manager

Only 3 Steps to Hire Deep Learning Engineers

1
Talk to Our Talent Expert
Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
2
Meet Carefully Matched Talents
Within 1-3 days, we’ll share profiles and connect you with the right talents for your project. Schedule a call to meet engineers in person.
3
Validate Your Choice
Bring new talent on board with a trial period to confirm you hire the right one. There are no termination fees or hidden costs.

Welcome to Upstaff

Yaroslav Kuntsevych
Upstaff.com was launched in 2019, addressing software service companies, startups and ISVs, increasingly varying and evolving needs for qualified software engineers

Yaroslav Kuntsevych

CEO
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Henry Akwerigbe
Henry Akwerigbe
This is a super team to work with. Through Upstaff, I have had multiple projects to work on. Work culture has been awesome, teammates have been super nice and collaborative, with a very professional management. There's always a project for you if you're into tech such Front-end, Back-end, Mobile Development, Fullstack, Data Analytics, QA, Machine Learning / AI, Web3, Gaming and lots more. It gets even better because many projects even allow full remote from anywhere! Nice job to the Upstaff Team 🙌🏽.
Vitalii Stalynskyi
Vitalii Stalynskyi
I have been working with Upstaff for over a year on a project related to landscape design and management of contractors in land design projects. During the project, we have done a lot of work on migrating the project to a multitenant architecture and are currently working on new features from the backlog. When we started this project, the hiring processes were organized well. Everything went smoothly, and we were able to start working quickly. Payments always come on time, and there is always support from managers. All issues are resolved quickly. Overall, I am very happy with my experience working with Upstaff, and I recommend them to anyone looking for a new project. They are a reliable company that provides great projects and conditions. I highly recommend them to anyone looking for a partner for their next project.
Владислав «Sheepbar» Баранов
Владислав «Sheepbar» Баранов
We've been with Upstaff for over 2 years, finding great long-term PHP and Android projects for our available developers. The support is constant, and payments are always on time. Upstaff's efficient processes have made our experience satisfying and their reliable assistance has been invaluable.
Roman Masniuk
Roman Masniuk
I worked with Upstaff engineers for over 2 years, and my experience with them was great. We deployed several individual contributors to clients' implementations and put up two teams of upstaff engineers. Managers' understanding of tech and engineering is head and shoulders above other agencies. They have a solid selection of engineers, each time presented strong candidates. They were able to address our needs and resolve things very fast. Managers and devs were responsive and proactive. Great experience!
Yanina Antipova
Yanina Antipova
Хочу виразити велику подяку за таку швидку роботу по підбору двох розробників. Та ще й у такий короткий термін-2 дні. Це мене здивувало, адже ми шукали вже цілий місяць. І знайдені кандидати нам не підходили Це щось неймовірне. Доречі, ці кандидати працюють у нас і зараз. Та надать приклад іншим працівникам. Гарного дня!)
Наталья Кравцова
Наталья Кравцова
I discovered an exciting and well-paying project on Upstaff, and I couldn't be happier with my experience. Upstaff's platform is a gem for freelancers like me. It not only connects you with intriguing projects but also ensures fair compensation and a seamless work environment. If you're a programmer seeking quality opportunities, I highly recommend Upstaff.
Volodymyr
Volodymyr
Leaving a review to express how delighted I am to have found such a great side gig here. The project is intriguing, and I'm really enjoying the team dynamics. I'm also quite satisfied with the compensation aspect. It's crucial to feel valued for the work you put in. Overall, I'm grateful for the opportunity to contribute to this project and share my expertise. I'm thrilled to give a shoutout and recommendation to anyone seeking an engaging and rewarding work opportunity.

Hire Deep Learning Developer as Effortless as Calling a Taxi

Hire Deep Learning engineer

FAQs about Deep Learning Development

How do I hire a Deep Learning developer? Arrow

Are you desperately looking for a Deep Learning developer validated to your requirements and skills? Are you lacking in resources and tools to find the right developer? If yes, then you are at the right place! Because at Upstaff, the selection of the Deep Learning Developer is done professionally as per your requirement, in a short time of just a few days, from calling to the instant task of your validated developer, with all your required skills.

Where is the best place to find Deep Learning developers? Arrow

Sure enough, within the network there must be dozens, if not hundreds, of services and platforms where you can look for the Deep Learning guy you need, but just Upstaff lets you sort out the best of the best real qualified developers practically in a couple of minutes, so that you will be able to select the one whose personality will be a perfect fit to your company. This is the case when you can create a genuinely “Pizza” type of service in the field of custom software development.

How are Upstaff Deep Learning developers different? Arrow

Vetting by expert human reviewers is combined with historically curated feedback from clients and team-mates, which has enabled us to save, on average, more than 50 hours for each client team evaluating Deep Learning candidates for every position. We live and breathe technical excellence, borne out of extensive industry expertise.

How quickly can I hire Deep Learning developers through Upstaff? Arrow

Our process begins with a 30-minute discovery call: we’ll discuss your pain points, technical requirements, and team diversity. Meet Carefully Matched Deep Learning Talents. Upon your meeting confirmation, we’ll send you profiles and arrange an introduction call with the right talents for your project, within 1-3 days. Schedule a call to meet Deep Learning engineers in person. Make the right call. Bring a new Deep Learning developer on board with a trial period: confirm that the person you hired does the job right, no termination fees and no hidden fees.

How does Upstaff vet remote Deep Learning engineers? Arrow

After this introductory round, Upstaff Managers do an eval of the soft skills of the candidates before the hiring decision is approved or rejected. For the hard skills, the Upstaff Staffing Platform has a short testing session to check their Deep Learning skills or engage a senior developer to do a technical interview for more senior developers. You can reuse some of the hard and soft skills of past candidates to connect them with other jobs in the future (see below). Upstaff managers also do an eval of the talent before approving them for further work, allowing us to accelerate the work and ability to scale, but also providing information to clients on the talent pipeline. Finally, we also have a matching engine within the work mining system that matches candidates and jobs in real time.

How to hire Deep Learning developer? Arrow

If recruiting services and job boards are not your 1st option, you may want to consider a client-oriented service like Upstaff to find & hire Deep Learning developers. Upstaff has a network of vetted and tested Deep Learning developers. Here, you can hire web developers for a few simple coding tasks with Deep Learning.

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Hiring Deep Learning developers? Then you should know!

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Table of Contents

How and where is Deep Learning used?

  • Medical Imaging: Diagnosing diseases
  • Autonomous Vehicles: Self-driving cars
  • Natural Language Processing: Language translation
  • Fraud Detection: Identifying fraudulent activities
  • Recommendation Systems: Personalized recommendations
  • Robotics: Autonomous robots
  • Computer Vision: Object recognition
  • Speech Recognition: Voice-controlled assistants
  • Financial Forecasting: Predicting market trends
  • Gaming: Enhancing player experiences

Compare Junior, Middle, Senior, and Expert/Team Lead Deep Learning Developer roles

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior0-2 years
  • Assist in model development
  • Data preprocessing
  • Basic troubleshooting
$60,000
Middle2-4 years
  • Model optimization
  • Implementing algorithms
  • Collaborate with team members
$80,000
Senior4-6 years
  • Lead project development
  • Research new technologies
  • Mentor junior developers
$100,000
Expert/Team Lead6+ years
  • Architect complex solutions
  • Set technical direction
  • Manage team projects
$120,000

Quick Facts about Deep Learning.

  • Deep learning emerged in 1986 as a method of machine learning.
  • Popular projects involving deep learning are image recognition and natural language processing.
  • Entry into deep learning requires a solid understanding of linear algebra and calculus.
  • Convolutional Neural Networks (CNNs) are among the most popular related technologies to deep learning.
  • In 1997, IBM’s Deep Blue became the first computer chess-playing system to defeat a reigning world chess champion, Garry Kasparov.

TOP Deep Learning Related Technologies

  1. TensorFlow (Google)
  2. PyTorch (Facebook)
  3. Keras (Francois Chollet, 2015)
  4. Caffe (Berkeley AI Research)
  5. MXNet (Apache)

What are top Deep Learning instruments and tools?

  • TensorFlow: Created by Google. Released in 2015.
  • PyTorch: Developed by Facebook. Released in 2016.
  • Keras: An API designed for TensorFlow. Released in 2015.
  • Caffe: Developed by Berkeley AI Research. Released in 2014.
  • Theano: Developed by the Montreal Institute for Learning Algorithms. Released in 2007.
  • MXNet: Apache Software Foundation project. Released in 2015.

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Talk to Our Talent Expert

Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
Manager
Maria Lapko
Global Partnership Manager