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Top Deep Learning developers available to hire:

Deep Learning developers in Japan - Hitesh K.
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Hitesh K.

Vetted Deep Learning developer in Japan (UTC+9)

* Having 8+ Years of extensive experience as a Senior Software Engineer, I have designed, developed, and owned multiple end-to-end projects, mentored junior developers and interns, wrote training materials, managed and optimized AWS infrastructure budgets for my team. * I raise the bar by providing valuable feedback through design/code reviews and sharing software development best practices. I help make and influence decisions regarding the architecture, design, and future vision of my team's software systems. I advise my manager and my colleagues by presenting data and counter-arguments. * Professional experience with the programming languages Python, Typescript and C#. * Professional experience with Django, Flask, Docker, Machine Learning, Deep Learning, Computer Vision, AWS Kinesis Stream, AWS CloudFormation, PyTest, FastAPI, PyTorch, Google Vision API, AWS Lambda, Serverless Architecture, Microservice Implementation using ZUUL and Eureka (Netflix) Framework, and other AWS services and tools. * Experience with building systems using cloud technologies on AWS: EC2, ECS, S3, Redshift, RDS, Lambda, SNS, SQS, CloudFormation, Cloudwatch, Step Functions, IAM, VPC, Kinesis Data Streams, and Quicksight. * Built systems using microservice architectures with serverless designs for large-scale, high throughput, low latency, and fault-tolerant distributed systems. * Setup and evangelized automated integration tests, code review verification workflows, and dependency analysis tools.

Deep Learning developers in Japan - Konstantin .
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Konstantin .

Vetted Deep Learning developer in Japan (UTC+9)

Summary: Experienced Senior Software Developer looking for any kind of remote job, full-time, part-time, contract or for specific projects. Skilled in many programming languages and technologies, especially in C++ (13 years) and C# (6 years). Ready to start working right away. **Platforms**: * Windows * Linux (Desktop & Embedded) * MacOS * Mobile (Xamarin C#, C++ on Android) **Database Expertise:** * NoSQL: EJDB, UnQlite * SQL: MySQL, MSSQL, Oracle, PostgreSQL, SQLite **Technologies:** * Multithreading/Async/LockFree(STL,Boost,libCDS,dotNet) * Video processing/streaming(onvif,live555,ffmpeg) * Network/Sockets(TCP,UDP with ordering,DNS,WEB Service), IPC(libUV,sockets,file-based) * Biometric auth(fingerprint,face) * Resource Usage/Throttling(CPU,GPU,Memory,e.t.c.) * Image recognition/processing(OpenCV, YOLO3) * Encryption(software protection, secure channel) * REST Services(server,client) * Crypto/web3 related(miners,nodes,payments,config,cli) * GPU(Cuda/OpenCL) optimization/development * Rust/Python/Lua integration * Mobile Dev(Xamarin/Native): iOS/Android * Databases: NoSQL,MSSQL/MySQL,Oracle * Web related: HTTP/HTTPS/HTML/JSON/XML/CSS * Finance(Stocks/Crypto): connectors, trading, strategy, custom graphs(renko,range), history parsing * AI: LLama2,PathFinding,Decision Making * MetaTrader4: EA/Indicators development * GUI: QT/WxWidgets/WinForms/imGUI/CEGUI/Custom selft developed UI * Graphics: OpenGL/Direct3D11/Vulkan * Engines: TrueVision, HGE, Ogre, wrote custom one * Audio: openAL(custom sources,3D sound,effects) * Physics: newton, physx, havok * AV: evading detection * DevTools: Visual Studio/VSCode/CMake/Ninja * Env: Windows(7,8,10,11), Linux(Ubuntu, Arch), MacOS **Cryptocurrencies Expertise**: * Miners: GPU, CPU - XHV, RVN, Ubiq, ETH, PKT(Packetcrypt) * Nodes/APIs: Kadena(node hosting, payments), Akash(docker deployment, cli-tool) **Networking**: * DNS Server for AdBlock * Proxy Router over HTTPS via libhv **Finance**: Developed a custom trading platform for Interactive Brokers via TWS API (C#) **Languages**: Fluent in English and Russian Basic in Japanese **Additional Qualifications:** Can adapt to various timezones, worked for both - US and EU timezone I have a recommendation letter from a previous employer

Deep Learning developers in Japan - Christian S.
Christian S.

Deep Learning developer in Japan (UTC+9)

Experienced Machine Learning Engineer with 6 years of expertise in machine learning, deep learning for computer vision, and NLP. Holds a Master's degree in Computer Science. Specializes in crafting custom AI solutions and simplifying complex topics for non-tech clients. Proficient in fundamental ML algorithms such as regression and clustering. Ready to bring your AI ideas to lif

Deep Learning developers in Japan - Thomas L.
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Thomas L.

Vetted Deep Learning developer in Japan (UTC+9)

Hello everyone, I have been working in the CS industry for ~10 years. I have mainly been working on back-end and research oriented projects involving image processing. If you are looking for understanding how computers work at a deep level (as far as assembly), or want to know how big tech companies (such as Amazon) scale their projects, then I have knowledge to share with you!

Deep Learning developers in Japan - Aki K.
Aki K.

Deep Learning developer in Japan (UTC+9)

I bring over 10 years of experience and deep understanding of AI and data science, having worked across diverse roles and industries, including: * University AI researcher * Senior positions in large corporations developing various state of the art AI products * Freelance AI consultant * AI Startup founder While I’ve been involved in various business aspects of AI products, I’ve maintained a hands-on connection to programming throughout. I have built numerous custom state of the art neural networks processing images, languages, structured or unstructured data.Often, I’ve been the person to kickstart projects from scratch, turning executive ideas into actionable outcomes.

Deep Learning developers in Japan - Emmanuel T.
Emmanuel T.

Deep Learning developer in Japan (UTC+9)

### Expertise I have a scientific background with a focus on Physics & Chemistry (bachelor level), and Neurosciences (master level) before becoming a Python Developer and Data Scientist. Here are some projects I developed for my customers: * created several custom ChatGPT chatbots to allow users to ask questions about customers' own documents (PDF, website, text, Excel). * used diffusion models like Stable Diffusion or DALL-E to create new images from text instructions or edit existing images (change background, add characters, etc.). * fine-tuned a deep learning model to classify comments automatically as positive or negative. * trained a deep learning model to transcribe handwritten text into excel * gathered data from websites and generated graphs to display information relevant to the customers. * created web applications to allow customers to upload data, process it, and visualize it. ### Technical Stack **Data gathering :** * scraping (beautifulsoup, selenium, scrapy, splash), use of tools facilitating scraping like [zyte.com](http://zyte.com/). Scraped sites: Google, Fnac, Cultura, Amazon etc. * various API calls: google sheet, pipedrive, pubmed etc. **Data processing :** * reading files in different formats: json, csv, text, excel * data cleaning and processing with pandas and numpy * data storage in databases: mongoDB, DocumentDB, PostgreSQL **Data visualization** * Python visualization libraries: matplotlib, seaborn, plotly * dashboard generation with PowerBI (Microsoft) and QuickSight (AWS) **Data analysis, prediction and classification** * use of sklearn and statsmodels to analyze the data * training of pre-trained deep-learning model with tensorflow and pytorch to do sentiment classification (NLP) * use of chatgpt to do Question Answering with a vector database (FAISS, pinecone etc.) **Creation of containerized application (docker)** * creation of API with Flask, FastAPI * application creation with streamlit and Flask, deployment on AWS (lambda, API gateway, S3, SQS) **CI/CD**: gitlab, serverless framework

Deep Learning developers in Japan - Kousuke A.
Kousuke A.

Deep Learning developer in Japan (UTC+9)

I am an indie hacker with over 4 years of expertise in developing the machine learning-backed iOS app, Poslog, achieving $3,700+ MRR using technologies like SwiftUI, Firebase, and React. With both an M.S. and a B.S. in Computer Science from the University of Washington, I specialize in machine learning, backed by several publications and patents. Additionally, I have contributed to prominent open-source projects, including TensorFlow. I am actively seeking part-time opportunities to further apply and enhance my skills.

Deep Learning developers in Japan - Alan I.
Alan I.

Deep Learning developer in Japan (UTC+9)

\- Data Scientist with 4 years of experience, aspiring to transition into a Machine Learning Engineer role. \- Achieved top 0.06% in CodinGame's game AI competition, highlighting strong knowledge and implementation skills in AI, search, and optimization. \- Experienced in handling diverse data types, including time-series, signal processing, NLP, and image recognition. Always keen on addressing customer needs. \- Tech stacks: Python, Pandas, TensorFlow, scikit-learn

Deep Learning developers in Japan - Peter B.
Peter B.

Deep Learning developer in Japan (UTC+9)

I am a Senior Data Analyst and BI Developer with experience in implementing analytics architectures, ETL processes, machine learning models, and fostering data-driven decision-making across various industries.

Deep Learning developers in Japan - Weiyu X.
Weiyu X.

Deep Learning developer in Japan (UTC+9)

Highly skilled Site Reliability Engineer with substantial experience in the software industry and specialization in Cryptocurrency, AI and Cybersecurity.

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Why clients hire Deep Learning developers with Arc

Without Arc by my side, I would be wasting a lot of time looking for and vetting talent. I'm not having to start a new talent search from scratch. Instead, I’m able to leverage the talent pool that Arc has created.
Mitchum Owen
Mitchum Owen
President of Milo Digital
The process of filling our position took less than a week and they found us a superstar. They've had the flexibility to meet our specific needs every step of the way and their customer service has been top-notch since day one.
Matt Gysel
Matt Gysel
Finance & Strategy at BaseVenture
The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.
Philip Tsai
Philip Tsai
Director of Engineering at Chegg

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FAQs

Why hire a Deep Learning developer?

In today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.

Depending on the stage and scale of your product and services, you may need to hire a Deep Learning developer, multiple engineers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote Deep Learning developers can help keep your website up-to-date.

How do I hire Deep Learning developers?

To hire a Deep Learning developer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.

Arc offers three services to help you hire Deep Learning developers effectively and efficiently. Hire full-time Deep Learning developers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance Deep Learning developers in 72 hours, with weekly payments.

If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Deep Learning developers.

Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right Deep Learning developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Deep Learning developers?

There are two types of platforms you can hire Deep Learning developers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find Deep Learning developers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.

If you’re looking to hire the best remote Deep Learning developers, consider niche platforms like Arc that naturally attract and carefully vet their Deep Learning developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Deep Learning developers.

Some factors to consider when you hire Deep Learning developers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.

Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find Deep Learning developers for hire.

How do I write a Deep Learning developer job description?

Writing a good Deep Learning developer job description is crucial in helping you hire Deep Learning developers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.

Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.

Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote Deep Learning developer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.

For a comprehensive guide on how to write an attractive job description to help you hire Deep Learning developers, read our Software Engineer Job Description Guide & Templates.

What skills should I look for in a Deep Learning developer?

The top five technical skills Deep Learning developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of software testing and debugging.

Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable Deep Learning developers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for Deep Learning developers to keep up with evolving technology and requirements.

What kinds of Deep Learning developers are available for hire through Arc?

You can find a variety of Deep Learning developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Deep Learning developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Deep Learning developers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.

In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled software engineers in various different time zones and countries for you to choose from.

Lastly, our remote-ready Deep Learning developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.

Why is Arc the best choice for hiring Deep Learning developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Deep Learning developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Deep Learning developers.

Every Deep Learning developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills. Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.

Not only can you expect to find the most qualified Deep Learning developer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.

How does Arc vet a Deep Learning developer's skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Deep Learning developer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.

While Arc has a strict vetting process for its verified Deep Learning developers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire Deep Learning developers, you can rest assured that all remote Deep Learning developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.

How long does it take to find Deep Learning developers on Arc?

Arc pre-screens all of our remote Deep Learning developers before we present them to you. As such, all the remote Deep Learning developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 450,000 candidates. You can also expect to hire a freelance Deep Learning developer in 72 hours, or find a full-time Deep Learning developer that fits your company’s needs in 14 days.

Here’s a quote from Philip, the Director of Engineering at Chegg:

“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”

Find out more about how Arc successfully helped our partners in hiring remote Deep Learning developers.

How much does a freelance Deep Learning developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Deep Learning developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Deep Learning developers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.

When you hire Deep Learning developers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.

How much does it cost to hire a full time Deep Learning developer?

According to the U.S. Bureau of Labor Statistics, the medium annual wage for software developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.

Your remote Deep Learning developer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.

For more frequently asked questions on hiring Deep Learning developers, check out our FAQs page.

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