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Vetted Recommender Systems developer in Spain (UTC+1)
I am an experienced DevOps Engineer with a strong background in Linux systems, AWS cloud infrastructure, and OS-level optimization. I specialize in automating deployment processes using CI/CD pipelines and have expertise in programming with Python and Go. My focus is on building scalable, efficient systems that deliver high performance and reliability across various environments.
Vetted Recommender Systems developer in Spain (UTC+1)
Digital Technology Director / CTO / CIO with more than 20 years of experience, delivery oriented, strong technical skills, wide experience in cloud (AWS serverless, Azure), CyberSecurity (Palo Alto, Fortinet, EDR/AV, NAC, SD-WAN), Networking Infrastructure (Networking, Wireless, Cisco, Ubiquiti) Software Development for APIs, integration,machine learning (Python xboost, pytorch, pandas, tensorflow,Matplotlib, seaborn), also experience using ChatGPT and it's APIs, Backoffice (Python, FastApi, Pandas, Django, Node, Angular, React, LAMP/LEMP oriented, REST Services, PHP7 Laravel, codeigniter, silex, Symphony framework, JAVA, frameworks: Hibernate, spring, Opensource oriented), Analytics technologies and also wide project management skills (Analysis, planning, development, implementation and improving efficiency), cloud Architecture (Lambda, EventBridge, SQS, SNS, API Gateway, S3, EFE, DynamoDB, MongoDB, Aurora Serverless, ECS, ECR, snowflake, HVR), TV Broadcast (Akamai, Amazon Elemental, RF-IP TV Broadcast, Dejero), BI and Datawarehouse (Snowflake, DBT, Redshift, grafana, AWS Glue, etc), strong Knowledge of AI (Successfully implemented on various projects), focused on technologies based on free software and cloud-based solution (AWS & Azure), also huge experience in integrating/delivering complex projects. Strategic vision of technologies related to business & product, used to deal with customers (company, business unit relationships and end clients) and strong team management capabilities, also still capable of writing, maintaining and enjoying writing code, designing networks (wired and wireless). Proactive, tenacious, hard-worker and highly interested in research and practical application of new technologies. More than ten years of experience on integration projects between platforms.
Vetted Recommender Systems developer in Spain (UTC+2)
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 Recommender Systems developer in Spain (UTC+1)
I am a skilled software developer with experience in Spring Boot, Drupal, and CKAN. I have a strong background in IT support and teaching programming and robotics.
Vetted Recommender Systems developer in Spain (UTC+1)
Kubernetes expert with an ambition to create a better future. Perfectionist at heart, but delivering projects on time. I define myself as a responsible, tenacious, and patient person, being committed to the projects I am assigned to. I am a “Never Stop Learning” passionate, ready for the next challenge.
Vetted Recommender Systems developer in Spain (UTC+2)
IT professional with more than 6 years of experience in databases and data analysis. I am looking for a project where I can contribute my experience in the field and can further develop my profesional skill
Vetted Recommender Systems developer in Spain (UTC+2)
Versatile DevOPS Manager with 6 years’ experience, advance knowledge of python and PHP languages, ability with heavy and light virtualization(Docker,Ovirt,). Mastery in telecommunication sector and skill form networking.
Recommender Systems developer in Spain (UTC+1)
With more than 20 years of experience, my actual role is focused on Front-end / full stack projects. I work tidily with our customers or teammates to understand their needs, propose and develop full-stack front-end solutions with care about design, accessibility, and web performance From Web applications, SPA, to mobile Hybrid apps up to desktop apps like electron. Problem Solving: Solving complex engineering problems and designing innovative solutions. Mentorship and Leadership: responsible for mentoring and guiding engineers and team members by providing best practices to follow, pear programming, code reviews, creating monographic content, and giving talks to my colleagues or in meetups Implemented mentorship programs resulting in enhanced team collaboration and individual skill development. Cross-functional Collaboration: collaborate with other departments and teams, by bridging the gap between technical and non-technical stakeholders.
Recommender Systems developer in Spain (UTC+1)
I am a Development Engineer with experience in software testing, and software development. I have worked on projects involving embedded software, communication protocols, and SCADA administration. I worked with many technologies, frameworks and programming languages, but I specialize in C and C++.
Recommender Systems 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
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Ready to hire your ideal Recommender Systems 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 Recommender Systems 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 Recommender Systems 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 Recommender Systems developers can help keep your website up-to-date.
To hire a Recommender Systems 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 Recommender Systems developers effectively and efficiently. Hire full-time Recommender Systems 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 Recommender Systems 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 Recommender Systems 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 Recommender Systems developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Recommender Systems 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 Recommender Systems 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 Recommender Systems developers, consider niche platforms like Arc that naturally attract and carefully vet their Recommender Systems developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Recommender Systems developers.
Some factors to consider when you hire Recommender Systems 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 Recommender Systems developers for hire.
Writing a good Recommender Systems developer job description is crucial in helping you hire Recommender Systems 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 Recommender Systems 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 Recommender Systems developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Recommender Systems 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 Recommender Systems 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 Recommender Systems developers to keep up with evolving technology and requirements.
You can find a variety of Recommender Systems developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Recommender Systems developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Recommender Systems 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 Recommender Systems 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 Recommender Systems developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Recommender Systems developers.
Every Recommender Systems 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 Recommender Systems 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 Recommender Systems 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 Recommender Systems 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 Recommender Systems developers, you can rest assured that all remote Recommender Systems 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 Recommender Systems developers before we present them to you. As such, all the remote Recommender Systems 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 Recommender Systems developer in 72 hours, or find a full-time Recommender Systems 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 Recommender Systems developers.
Depending on the freelance developer job board you use, freelance remote Recommender Systems developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Recommender Systems 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 Recommender Systems 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 Recommender Systems 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 Recommender Systems developers, check out our FAQs page.