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Vetted Recommender Systems developer in Pakistan (UTC+5)
Driven technical leader with 15+ years of experience building and scaling highly reliable distributed systems for clients ranging from startups to Fortune 500 companies. Expertise in distributed systems, infrastructure, release orchestration, cryptography, and big data pipelines. Passionate about optimizing development workflows, ensuring seamless deployments, and applying technical innovation across diverse industries.
Vetted Recommender Systems developer in Pakistan (UTC+5)
I'm a C/C++ developer. I've worked as a Linux Kernel Developer and an open-source contributor. I'm passionate about open-source software. I have worked on several components of the Linux Kernel and made several contributions to the Linux Kernel. Contributions in Linux Kernel: [https://is.gd/MPDmWC](https://is.gd/MPDmWC) Contributions on GitHub: [https://is.gd/UFOeoH](https://is.gd/UFOeoH) I've years of experience working on RT kernel, device drivers, embedded systems, low-level debugging, userspace high-performance scalable applications, compilers, and IP cores in FGPA. I have a master's in EE and have done research on RISC-V architecture as well.
Vetted Recommender Systems developer in Pakistan (UTC+1)
Experienced Senior Software Engineer with over 7 years specializing in Java (Spring, Hibernate) development. Expertise in designing, developing, and maintaining distributed software systems. Proven ability to deliver high-quality solutions while collaborating with remote, cross-functional teams. Skilled in cloud technologies, database management, and full-stack development. Committed to leveraging emerging technologies and best practices to drive project success and optimize performance.
Vetted Recommender Systems developer in Pakistan (UTC+5)
Experienced WordPress developer with over 5+ years of experience in designing, developing, and maintaining websites using the WordPress content management system. Proficient in HTML, CSS, JavaScript, PHP, and MySQL. Skilled in responsive design, cross-browser compatibility, and web standards.
Vetted Recommender Systems developer in Pakistan (UTC+5)
I am a Senior Software Engineer specializing in the backend domain working with numerous technologies like Java, Spring Boot, Hibernate, Spring Cloud, MongoDB, and MySql, utilizing AWS services daily. I work on large-scale projects involving millions of users and thousands of requests per second and am dedicated to bringing efficiency and improvement to every project, I undertake. Technology Stack I have worked with but not limited to: • Languages: Java, JavaScript, Python • Frameworks: Spring boot, Spring Security, Spring Data JPA, Spring Cloud • Databases: Elastic Search, MySql, Redis, MongoDB • Tools: Intellij, Git, Jira, Bitbucket, Postman, Jenkins, Swagger, Logstash, Kibana • DevOps: AWS, Docker
Vetted Recommender Systems developer in Pakistan (UTC+5)
Senior iOS Developer with over 5 years of industry experience, I possess a deep understanding of architecting and developing high-quality mobile applications. My expertise is crafting scalable solutions, employing design patterns, and ensuring code maintainability. Proficient in Swift, Objective-C, UIKit, SwiftUI, Combine, XCode. I have a proven track record of delivering robust iOS applications that meet and exceed client expectations.
Vetted Recommender Systems developer in Pakistan (UTC+5)
**Cloud Architect (AWS, GCP) | Kubernetes | DevOps | AI, ML Enthusiast** More than 27 years of experience in Linux/UNIX Systems from small scale infrastructure to large data centers. Supporting development teams with their infrastructure requirements and management. As Google and AWS Certified Solutions Architect, has designed and developed DevOps infrastructure on cloud (GCP and AWS). Hands-on in setting up scalable infrastructure, automation, monitoring and continuous integration and deployment pipelines. Replicated the complete production infrastructure using Terraform/Scripting. Did a number of cloud migrations for Web Applications, ML and Data Engineering projects to cloud. MS in Information Technology from University of Maryland, and a BS in Electrical Engineering from UET Lahore Pakistan. **Skills:** - Kubernetes - Cloud Architect (GCP and AWS) - DevOps - Terraform (GCP and AWS) - Linux/UNIX System Administration - Bash Scripting - Jenkins - Docker/MicroServices - Vagrant - Python (mainly for) DevOps and for Data Science and Machine Learning **Professional Certifications** - Google Cloud Professional Cloud Architect - Amazon Web Services Solutions Architect Associate **Some Recent Projects and Technologies** - Deployment and Maintenance of GKE Clusters in Development, Staging and Production Environments - Scripting deployment of a complete Project with GKE in GCP - Scripting/Terraforming deployment of a complete infrastructure in AWS - Terraforming App Engine, Cloud SQL, MongoDB, VMs and MemoryStore in GCP - Migration to Google Cloud Platform, with web application, databases and storage - Setting up number of GKE clusters for clients for online services - Setup of multiple projects for DICOM services for a US client - Setup of ML Based services infrastructure using GKE (with GPUs) and VMs
Vetted Recommender Systems developer in Pakistan (UTC+5)
I am an experienced Fullstack engineer with major expertise in technologies like Angular, React, Typescript, Javascript, Svelte, Stenciljs and other libraries. Using these technologies I have worked on extensive frontend rich applications, Migrations of old frameworks apps to newer versions, Also I have worked on creation of dashboards for data visualization using charts libraries. I also have backend experience with Nodejs, PHP, MySQL & NoSQL.
Vetted Recommender Systems developer in Pakistan (UTC+5)
Systems Engineer with over 4 years over experience in microservice and monilithic backend development as well as Cloud and Infrastructure including Docker, Kubernetes, Azure, CI/CD, MySQL/Postgres, Linux and Enterprise Virtualization with VMWare and KVM
Recommender Systems developer in Pakistan (UTC+5)
I continuously explore all the technologies that interest me: ## Continuous Process Improvement - Custom & hybrid release delivery models for product/project teams ## Continuous Integration ## Continuous Innovation - IoT & Service delivery model (SaaS) - Edge Device Management - Cloud infra Management - Edge Device Management - User facing UI & UX application flows ## Modern Web Applications / SPA / SSR - Front-end web and mobile development with frameworks React, Angular, Vue and NuxtJS, ## Machine learning & AI - Apply learning techniques, - Perform data modeling & training - Build runtime for pipeline deployment - Develop APIs and tool chain - Managing cloud and serverless solutions on Azure, Firebase, and AWS.
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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.