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Arc helps you find and hire top freelance Face Recognition engineers for your jobs. With 350,000+ software 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 Face Recognition developers and experts that you can trust.
Face Recognition developer in Pakistan (UTC-4)
• 5+ years of Data Science experience leveraging diverse technologies. • Expertise in providing AI solutions across retail, telecommunications, and fintech sectors. • Specialized in time-series forecasting; collaborated with Walmart to detect anomalies in sales data, achieving a 5% MAPE using PySpark and GCP deployment. • Established end-to-end pipelines for dev, staging, and production, streamlining weekly forecasting workflows. • Significant contributions in NLP projects; with a focus on Large Language Model (LLM) enhancement. • Worked on ASR models and text to speech models. • Deployed models with ZMQ for seamless live request handling, scaling systems to manage 1000+ calls for Dominos. • Pioneered AI solutions for Fintech, implementing computer vision for automated KYC verification. • Proficient in Docker and Linux shell for model deployment and real-time customer request servicing. • Demonstrates strong analytical and problem-solving skills.
Face Recognition developer in India (UTC+6)
I am a Machine Learning Engineer with 6+ years of experience. I have expertise in problem-solving, system design, and cross-domain knowledge. My technical skills include Machine Learning, Deep Learning, Data Migration, and Data Science. In my current role as Head of Data and AI at FIS Clouds, I lead data and ML engineering teams and automate work processes using Data Science and ML. I have also worked on specialized Android devices for ML workflow and image processing at Exo-Field Engineering and Techolution. Additionally, I have contributed to building a camera-equipped home robot at Untrodden Labs. I am a Google Certified Professional Data Engineer and have conducted a webinar on AI.
Face Recognition developer in South Africa (UTC+2)
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Face Recognition developer in Argentina (UTC-3)
My projects have resulted in significant process improvements and operational efficiency. For example, the OCR system I developed reduced manual workload, allowing the company to avoid operational delays. Additionally, I implemented a file upload program that minimized errors and stabilized the workflow, directly contributing to an increase in revenue. In the realm of web3, the crowdfunding contract I developed has significantly empowered numerous startups by expanding their user base and enhancing the visibility of their tokens.
Face Recognition developer in Nigeria (UTC+1)
I'm a seasoned Software Developer with a strong background in designing, implementing, testing, and maintaining software systems. My skill set spans multiple platforms (Windows & Linux) and languages (JavaScript & PHP), along with expertise in various frameworks such as Vue.js, Nuxt, React.js, Laravel, and Symfony. I'm also proficient in CSS frameworks like MUI, Bootstrap, Tailwind CSS, Vuetify, and Chakra UI. I stay updated with the latest development tools like Docker, TypeScript, SSH, CI/CD, and testing techniques. With a firm grasp of Agile Methodology, I'm capable of self-management on independent projects and effective team collaboration.
Face Recognition developer in the United States (UTC-5)
As a seasoned senior software engineer with over 6 years of experience, I have consistently demonstrated my ability to deliver exceptional results in developing and implementing innovative software solutions. With a strong technical background and a passion for problem-solving, I have successfully contributed to the success of numerous projects throughout my career. My expertise lies in leveraging cutting-edge technologies, collaborating with cross-functional teams, and ensuring the delivery of high-quality software products. I am dedicated to driving efficiency, optimizing performance, and exceeding client expectations. With a proven track record of success, I am confident in my ability to make a significant impact as a senior software engineer.
Face Recognition developer in Romania (UTC+3)
I am a full-stack engineer, with a great passion and dedication for building state of the art projects on the fields of IoT, machine learning and distributed Cloud systems. I do like to invest my mind, heart, creativity and attention to make such complex projects work. During the years, I was working in different positions, such as Cloud developer, firmware developer, team leader, branch manager, entrepreneur and CTO. I do like to coordinate cross-functional teams, obtaining the best from them and helping them achieve goals that seems challenging. I do believe in autonomous teams, which carry strong ownership on their work and good sense of happiness about what they're doing. I am a hands-on person, which has no problem on rolling up the sleeves and help projects with code programming, solutions design or anything else is necessary. I am a fast pace learner, highly motivated to learn from my peers and to try out new technology trends that are appearing on the market.
Vetted Face Recognition developer in India (UTC+6)
Principal Data Scientist with over a decade of experinece delivering strategic business value through data science tools and techniques. Key strengths in advanced mathematics, programming, ML development and cross-functional communications. Have received delivery excellence award from Govt. of India for key Govt. AI project seamless delivery.
Vetted Face Recognition developer in Brazil (UTC-3)
Master and Bachelor in Computer Science | Machine Learning Engineer. An enthusiast for entrepreneurship and the business world, with experience in a range of projects in the technology industry and in the area of startups. I have experience with web projects and in the last few years, I am focused on Data Analysis / Science / Engineer. During these projects, I worked with teams, managing tasks and developing features using agile methodologies like Kanban and Scrum. My master's research was focused on the Artificial Intelligence (AI) area, using and comparing machine learning techniques in the identification of writers' manuscripts. With my work, I made four international publications. During graduation, I participated in extension and research projects. I was one of the founding members of HackerSpace Maringá (a community laboratory) and also reactivated the academic center of the course, in which I was president for two years. “Success is the sum of small efforts, repeated day-in, and day-out.” - Robert Collier
Vetted Face Recognition developer in India (UTC+6)
Dedicated and results-driven Software Engineer with a proven track record (~7 years) of leveraging advanced analytics and cutting-edge technologies to drive business success. Possessing a strong background in translating complex concepts into practical solutions. My expertise ranges from managing Java-based enterprise backend systems to Python-based services involving natural language processing, computer vision, and deep learning, with hands-on experience in designing, deploying and maintaining scalable machine learning systems. I have been developing LLM-based applications to transform business requirements into successful outcomes.
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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 Face Recognition 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 Face Recognition developers can help keep your website up-to-date.
To hire a Face Recognition 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 Face Recognition developers effectively and efficiently. Hire full-time Face Recognition 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 Face Recognition 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 350,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Face Recognition 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 Face Recognition developer for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Face Recognition 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 Face Recognition 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 Face Recognition developers, consider niche platforms like Arc that naturally attract and carefully vet their Face Recognition developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Face Recognition developer candidates.
Some factors to consider when you hire Face Recognition 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 Face Recognition developers for hire.
Writing a good Face Recognition developer job description is crucial in helping you hire Face Recognition 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 Face Recognition 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 Face Recognition programmers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Face Recognition 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 Face Recognition 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 Face Recognition developers to keep up with evolving technology and requirements.
You can find a variety of Face Recognition developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Face Recognition programmers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Face Recognition 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 Face Recognition 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 Face Recognition developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Face Recognition developers.
Every Face Recognition 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 Face Recognition 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 Face Recognition 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 Face Recognition 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 Face Recognition 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 Face Recognition developers, you can rest assured that all remote Face Recognition 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 Face Recognition developers before we present them to you. As such, all the remote Face Recognition 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 350,000 candidates. You can also expect to hire a freelance Face Recognition programmer in 72 hours, or find a full-time Face Recognition 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 Face Recognition developers.
Depending on the freelance developer job board you use, freelance remote Face Recognition developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Face Recognition 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 Face Recognition 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 Face Recognition 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 Face Recognition developers, check out our FAQs page.