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Vetted Deep Learning developer in Spain (UTC+1)
Hello, I am a highly experienced software engineer with 10 years of programming expertise, adept at tackling various complex software systems in different industries. My diverse background includes working on projects in the healthcare, construction, and blockchain sectors. In the construction industry, I have contributed to the development of software solutions that optimize project management, resource allocation, and collaboration among stakeholders. Additionally, my involvement in blockchain projects has exposed me to cutting-edge technologies, enabling me to design and implement decentralized applications with an emphasis on security and transparency. As a software engineer, I am committed to staying up-to-date with the latest industry trends and best practices, ensuring that I deliver state-of-the-art solutions to my employers and clients. I thrive in collaborative environments and excel at communicating complex technical concepts to non-technical stakeholders. I look forward to contributing my expertise and enthusiasm to your team, leveraging my background to drive innovation and success in your organization. Thank you for considering my application. Sincerely, Daniel
Vetted Deep Learning developer in Spain (UTC+2)
Machine learning engineer with more than 10 years of experience (when including past experience as backen engineer). I love to cover all my projects to quite a bit of tests, that makes me sleep better. I never give up on problems, there is always a way. On my free time I like to read about statistics and go to the gym.
Vetted Deep Learning developer in Spain (UTC+2)
I am a software developer with experience in C++, LabView, and Python. I have worked on projects involving deep learning and machine learning for the metal quality industry. I am also knowledgeable in artificial intelligence deepe learning and have developed solutions using NLP with LLM, machine learning, and automation. Currently, I am a senior software developer specializing in Python, cloud solutions, and innovation with artificial intelligence and machine learning algorithms. I have a Bachelor's degree in Mechatronic Engineering and a Master's degree in Electronic Systems and Control.
Vetted Deep Learning developer in Spain (UTC+2)
I'm an experienced Fullstack Engineer who is deeply passionate about the digital landscape of the web. While my professional journey often finds me focusing on the Frontend, I'm equally immersed in Backend development. Javascript holds a special place in my heart, with its dynamic ecosystem bridging both browser and Nodejs platforms. While tools like React, Vue, or Svelte offer incredible advantages for building robust and maintainable Frontend software, two decades in the industry have instilled in me a principle of adaptability. Evolution is the nature of our field. With this understanding, I've embraced a Framework-agnostic approach, prioritizing core logic and flexibility over any particular tool. Beyond web development, my enthusiasm also reaches into the world of Machine Learning, with a particular interest in Deep Learning and Deep Reinforcement Learning. This isn't merely a hobby for me; I've been a devoted practitioner and an avid researcher in these fields. Countless hours have been invested in learning, experimenting, and pushing boundaries with personal projects—a journey well documented on my GitHub. This exploration has also introduced me to the Python language, which I've come to admire greatly. Recently, I've been navigating the exciting world of Web 3. The idea of decentralization resonates deeply with me, and I'm actively transitioning from traditional web2 paradigms to the innovative domain of web3. A significant portion of my time is dedicated to mastering Solidity and delving into the vast ecosystem of decentralized apps on the Ethereum network. My Github is keeping track of my evolution as a Software Engineer. Go check it out if you're curios about what I'm currently up to: [https://github.com/jscriptcoder](https://github.com/jscriptcoder)
Deep Learning developer in Spain (UTC-7)
Working in the IT sector for more than 10 years. With over 10 -years of freelancing and professional experience taught me all kinds of frameworks and languages, ranging from React, Angular, Vue, Node js, Express js, React Native, Redux, Rx JS, JavaScript, Typescript, WordPress, PHP, MySQL, MongoDB, Firebase, Sqlite, Postgresql, ES5+, Python3, Machine Learning, Deep Learning, RNN, CNN, Android Java/Kotlin, iOS Swift/SwiftUI, C/C#/C++, .Net, Assembly, VBA, VB, Excel Macro, Java, Spring Boot Micro-services, Zoho, Salesforce, Hubspot, R, Shiny, STATA, MATLAB, Google Sheet, App Script, Bubble io, etc. Over my long career, I have come across all kinds of challenges and gained vast experience with different kinds of industries like portals, medical industry, perception exercise, employee management, etc. I have good experience with frontend development using React JS along with Typescript, Firebase, GraphQL, React Native, Native Script, React, Material UI, Ionic, Node.js, Web Sockets, and real-time communication. I have also worked on containerization technologies like Kubernetes, Docker, AWS, GCP, Azure etc. I am very good with backend technologies as well like Java Spring boot, Microservices, MySQL, Postgres, Elasticsearch, AWS/Google integration. Please contact me to get the result done in a professional way.
Deep Learning developer in Spain (UTC+2)
Passionate about all new technologies related to urban mobility, shared transportation, connected vehicles, and autonomous driving. I am a Telecommunications Engineer with over 15 years of experience in the ITS, shared transportation, and urban mobility sectors. I am an expert in firmware and hardware design and development, with experience in various stages of product development: R&D, certification, industrialization, manufacturing, and after-sales. Throughout my professional career, I have held positions as a developer, project manager, and R&D coordinator. Having worked in both large companies and startups, I consider myself an all-rounder capable of tackling any problem. What I value most in a job is continuous learning. Skills: * Self-driving cars. ADAS. * IoT, LTE, RFID, and Bluetooth. * Embedded Software * Certification: CE and FCC * HW development. * Power electronics. * Linux. * Radiofrequency design. * Digital electronics. * Analog electronics. * Photovoltaic systems. * Cybersecurity and Cryptography
Vetted Deep Learning developer in Spain (UTC+2)
Data Scientist with almost 7 years of experience with clients in the UK and Spain. I specialise in developing PoCs and MVPs with AI and Cloud technologies, working in cross-functional teams in sectors such as banking, telecommunications and the public sector. With over 30 collaborations for over 15 clients under my belt in the last three years, some of my projects include developing NLP models for identifying bad practices in IT reports, developing a client call transcription tool for further analysis, creating dashboards for KPI visualisation and writing a course on time series analysis. I specialise in econometric techniques for time series analysis, causal inference, natural language processing (NLP), and data visualisation. My programming language is Python, and I have experience with cloud technologies (IBM), visualisation tools (Cognos Analytics), and databases (Mongo, Db2).
Vetted Deep Learning developer in Spain (UTC+1)
Seasoned engineer with over 15+ experience in software development.
Vetted Deep Learning developer in Spain (UTC+1)
PhD in Complex Systems and a researcher at the Universidad Politécnica de Madrid. In his career he has accumulated extensive experience in projects related to Data Science. He made a research stay at the MIT Media Lab where his research focused on transforming the data into insights and stories. During he is PhD he analyzed online social networks, developing models to understand influence. He has applied this research in the industry, helping companies to monitor sentiment on social networks, and deployed viral marketing campaigns. Over the last years he has made significant advances in the area of financial machine learning. As a result he has deployed solutions for algorithmic cryptocurrency trading and a platform used by coops that predicts the evolution of the prices of fruits and vegetables He is the founder of AGrowingData, a start-up that develops Big Data solutions for the agri-food sector.
Vetted Deep Learning developer in Spain (UTC+1)
Accomplished Artificial Intelligence Lead with over eight years of progressive experience in software engineering, specializing in AI-driven solutions for marketing and sales ecosystems. Expert in leading cross-functional teams to innovate and implement AI tools that enhance operational efficiency. Currently spearheading a research and development team focused on creating bespoke machine learning models to optimize marketing strategies and sales processes. Holds a robust academic background with ongoing Ph.D. research in computer vision and machine learning applications. Proven track record in project management, having successfully developed and deployed a pioneering framework integrating differential privacy, in-database machine learning, and federated learning. Proficient in Python, C++, and Rust, with extensive experience in managing complex data systems and adapting new technologies to meet business needs. Committed to leveraging artificial intelligence to drive digital transformation and achieve business excellence in the global market.
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Ready to hire your ideal Deep Learning developers?
Get startedArc offers pre-vetted remote software developers skilled in every programming language, framework, and technology.
Look through our popular remote developer specializations below.
Arc helps you build your team with our network of full-time and freelance Deep Learning developers worldwide.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.