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Remote Deep Learning Pipeline developer in Spain (UTC-6)
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.
Vetted Deep Learning Pipeline 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 Pipeline 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 Pipeline developer in Spain (UTC+1)
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)
Vetted Deep Learning Pipeline developer in Spain (UTC+1)
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.
Remote Deep Learning Pipeline developer in Spain (UTC+2)
**Hi, I'm Cristian, an MLOps Engineer specializing in image processing and natural language domains.** I have strong expertise in cloud technologies such as AWS and Azure, which enhance my ability to deliver robust and scalable solutions. With over 8 years of experience in artificial intelligence, I consider myself a knowledgeable and passionate professional, constantly keeping up with the field's rapid evolution. Generative AI — both in image and text generation — has been a paradigm shift in the industry, and over the past two years, I’ve dedicated myself to staying at the forefront, actively modifying and creating various models. In computer vision, my skill set spans both modern neural network architectures and classical algorithmic techniques using libraries like OpenCV. Whether working with text, images, or audio, I consistently develop practical and effective solutions. Motivated and adaptable, I thrive in diverse project environments — from fast-paced startups to large-scale enterprises. I'm capable of quickly building functional prototypes, even in low-data scenarios, as well as refining systems that push the boundaries of what's currently possible.
Remote Deep Learning Pipeline 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
Remote Deep Learning Pipeline developer in Spain (UTC+2)
I'm a software and web developer with a strong foundation in PHP and JavaScript, specializing in platforms like Shopware 6 and WordPress. I hold a B.Sc. in Digital Media and completed an apprenticeship as an IT specialist in application development. Currently, I'm pursuing an M.Sc. in Artificial Intelligence to deepen my expertise in cutting-edge technologies. I work confidently in both frontend and backend development and communicate fluently in German, English, and Spanish.
Vetted Deep Learning Pipeline 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 Pipeline developer in Spain (UTC+1)
Seasoned engineer with over 15+ experience in software development.
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Ready to hire your ideal Deep Learning Pipeline developers?
Get startedArc offers pre-vetted remote 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 Pipeline 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 Pipeline 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 Pipeline developers can help keep your website up-to-date.
To hire a Deep Learning Pipeline 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 Pipeline developers effectively and efficiently. Hire full-time Deep Learning Pipeline 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 Pipeline 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 Pipeline 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 Pipeline developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Deep Learning Pipeline 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 Pipeline 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 Pipeline developers, consider niche platforms like Arc that naturally attract and carefully vet their Deep Learning Pipeline developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Deep Learning Pipeline developers.
Some factors to consider when you hire Deep Learning Pipeline 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 Pipeline developers for hire.
Writing a good Deep Learning Pipeline developer job description is crucial in helping you hire Deep Learning Pipeline 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 Pipeline 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 Pipeline developers, read our Engineer Job Description Guide & Templates.
The top five technical skills Deep Learning Pipeline developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of 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 Pipeline 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 Pipeline developers to keep up with evolving technology and requirements.
You can find a variety of Deep Learning Pipeline 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 Pipeline developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Deep Learning Pipeline 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 engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready Deep Learning Pipeline 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 Pipeline 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 Pipeline developers.
Every Deep Learning Pipeline 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 Pipeline 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 Pipeline 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 Pipeline 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 Pipeline developers, you can rest assured that all remote Deep Learning Pipeline 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 Pipeline developers before we present them to you. As such, all the remote Deep Learning Pipeline 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 Pipeline developer in 72 hours, or find a full-time Deep Learning Pipeline 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 Pipeline developers.
Depending on the freelance developer job board you use, freelance remote Deep Learning Pipeline developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Deep Learning Pipeline 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 Pipeline 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 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 Pipeline 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 Pipeline developers, check out our FAQs page.