Arc helps you find and hire top freelance Recommendation systems engineers for your jobs. With 2,922 Recommendation systems programmers available for hire on a freelance basis, we have one of the largest network of vetted talent. Our Silicon Valley-caliber vetting process helps ensure that you hire freelance Recommendation systems developers and experts that you can trust.
Recommendation systems developer in Canada (UTC-9)
Results-driven Data Scientist with full-stack experience, adept at influencing product and business decisions through data-driven insights. Entrepreneurial mindset, Medical AI enthusiast, thriving in ambiguous environments and building features from concept to deployment. Proven track record of developing and implementing machine learning solutions that drive business value.
Recommendation systems developer in Canada (UTC-4)
I have over seven years of experience in bringing new ideas to life, and quickly iterating to find the real value behind the idea. I've built MVPs for apps and websites, test projects for bringing in (or bringing in newer and better) machine learning to existing products, and refactored or rewritten apps whose development has stalled to bring them back up to the point where rapid development can resume.
Recommendation systems developer in Brazil (UTC-3)
Innovative Full Stack Software Engineer with over 8 years of experience developing scalable web and mobile applications. Proficient in modern frontend and back-end technologies, with a strong focus on user-centric solutions and high-quality code. An effective communicator and collaborative team player, seeking to contribute expertise to cutting-edge projects globally.
Recommendation systems developer in Finland (UTC+2)
Over 10 years of experience building data systems with machine learning, NLP, statistical modelling, mathematical optimisation and data visualisation.
Recommendation systems developer in Nigeria (UTC+1)
Result-oriented Data scientist specialized with 4 years of full-time working experience in AI/ML, NLP, NLU, and recommendation systems. I have expertise in engineering production-level ML solutions.
Recommendation systems developer in Nigeria (UTC+2)
Dedicated Data Scientist with a strong foundation in Artificial Intelligence and Machine Learning, eager to apply technical expertise to solve complex business problems. Adept at building and deploying predictive models, performing data analysis, and developing insights that drive decision-making. Committed to continuous learning and delivering innovative solutions that provide significant value to organizations.
Recommendation systems developer in Pakistan (UTC+5)
I am a Computer Science student with a strong foundation in **Artificial Intelligence (AI)**, **web development**, and **machine learning**. I have successfully completed diverse projects, including **fashion pattern generation using GANs**, **recommendation systems**, **chatbots**, **speech recognition systems, image to text and text to image generating systems**, and **data visualization**. My expertise also extends to **data science**, where I have gained hands-on experience in **data analysis**, **generative adversarial networks (GANs)**, and creating actionable insights through **Power BI** dashboards. My technical skills include: * **Python programming** for developing robust and efficient solutions. * Expertise in **machine learning models** for predictive and classification tasks. * Proficiency in **data visualization tools** like Power BI to present complex data effectively. * Designing and deploying advanced systems, such as **speech recognition** and **recommendation engines**, to meet real-world demands. * **Game Development**: Proficient in Roblox Studio, developing immersive games and interactive experiences using Lua scripting. * **Animation and Asset Creation**: Skilled in Blender for designing and animating assets, ensuring high-quality visuals for games and applications.
Recommendation systems developer in India (UTC+6)
I am a data scientist with 3 years of experience in deep learning solutions for search technology. I have expertise in NLP, LLMs, ETL pipelines, training and deploying models . I also have experience in creating webapps using frameworks like nextjs, flask, fastapi and deploying them to cloud. In the course of my career so far I have worked in Micorsoft and Sony.
Recommendation systems developer in India (UTC+6)
Innovative software developer with over 6 years of experience in full-stack JavaScript applications, specializing in enhancing performance, SEO, and user interactivity. Proven track record in leading technical projects, optimizing databases, and integrating advanced reporting tools.
Vetted Recommendation systems developer in India (UTC-8)
I am a professional software developer who has a **balanced experience of working in all stages of a company** - from early stage startup to unicorn startup to Microsoft's Linkedin. After graduating from **a top-tier institute IIITA**, I began my career with an internship at Acko, which was a small 15‐member team at the time. By the end of my full‐time tenure, I had witnessed its growth to a team of **over 200 developers**. Seeking to understand **industry‐scale software** development, I joined **LinkedIn**. There, I managed a team of three, and we successfully developed two projects. I left LinkedIn to start Mathlete with my cofounder, a platform for teaching math. We soon realized that distribution was a bottleneck for this business idea, and I felt the need to learn more about business development. This led me to join The Dot Studio as a founding member, where I could witness the 0‐1 journey firsthand. At The Dot Studio, I helped set up the software infrastructure to reduce operational load and generate revenue. Due to the lack of future fitment of a tech role in a marketing agency, I decided to leave the core‐team. I have also done **multiple projects in AI** and has published **a research paper in AI** and computer vision. I hold a B-Tech in Information Technology with a CGPA of 8.51. Experienced in AI, Java, Python, and software engineering. Led projects in AI research, software development, and entrepreneurship.
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Get startedArc helps you build your team with our network of full-time and freelance software developers worldwide, spanning 190 countries.
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 Recommendation systems developer, multiple developers, 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 Recommendation systems developers can help keep your website up-to-date.
To hire a Recommendation 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 Recommendation systems developers effectively and efficiently. Hire full-time Recommendation 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 Recommendation systems engineers 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 Recommendation 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 Recommendation systems developer for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Recommendation systems programmers 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 Recommendation 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 Recommendation systems developers, consider niche platforms like Arc that naturally attract and carefully vet their Recommendation systems developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Recommendation systems developer candidates.
Some factors to consider when you hire Recommendation 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 Recommendation systems developers for hire.
Writing a good Recommendation systems developer job description is crucial in helping you hire Recommendation systems programmers 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 Recommendation 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 Recommendation systems programmers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Recommendation 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 Recommendation 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 Recommendation systems developers to keep up with evolving technology and requirements.
You can find a variety of Recommendation 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 Recommendation systems programmers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Recommendation 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 Recommendation 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 Recommendation 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 Recommendation systems developers.
Every Recommendation systems developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills (both for depth in Recommendation systems and breadth across the greater domain). 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 Recommendation systems engineer 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 Recommendation 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 Recommendation 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 Recommendation systems developers, you can rest assured that all remote Recommendation 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 Recommendation systems developers before we present them to you. As such, all the remote Recommendation 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 Recommendation systems programmer in 72 hours, or find a full-time Recommendation systems programmer 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 Recommendation systems developers.
Depending on the freelance developer job board you use, freelance remote Recommendation systems developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Recommendation 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 Recommendation 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 Recommendation 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 Recommendation systems developers, check out our FAQs page.