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Top Iris Recognition developers and experts available to hire:

Iris Recognition coder - Christine S.
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Christine S.

Vetted Iris Recognition developer in the United States (UTC-7)

**Results-oriented Senior Full-Stack AI/ML Engineer with 8+ years as a Software Consultant. Skilled in analyzing large datasets, designing personalized recommendation systems, and optimizing machine learning pipelines for real-time data processing. Adept at researching and adopting state-of-the-art technologies to enhance model performance and operational efficiency, while consistently delivering impactful results to drive business growth.** **Have various experiences in Machine Learning, Natural Language Processing, Data Engineering and Cloud Engineering work.** **Technical Expertise: [https://momentous-blackbird-0cc.notion.site/Technical-Expertise-a4d39819eba345cc83d6d1628fc32070](https://momentous-blackbird-0cc.notion.site/Technical-Expertise-a4d39819eba345cc83d6d1628fc32070)** **Portfolio: https://christinestraub.notion.site/Portfolio-b5c0bd8b916441e8b7687ae2ff5dc8fe**

Iris Recognition expert - RK .
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RK .

Vetted Iris Recognition developer in Azerbaijan (UTC+4)

I am passionate about AI projects and have worked with or fine-tuned nearly all popular open-source models available. My current focus is on the NLP domain, specifically in TTS, STT, NLU, and chatbots. As an experienced software developer with over 10 years of expertise in both functional and object-oriented programming and approximately 20 years in the IT industry overall, I am confident in collaboratively tackling any challenge we may face.

Iris Recognition developers developer - RK .'s portfolio image
Iris Recognition developers developer - RK .'s portfolio image
Iris Recognition coder - Ruiciro R.
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Ruiciro R.

Vetted Iris Recognition developer in Mexico (UTC-6)

Innovative and results-driven Machine Learning Engineer with over 5 years of experience in designing and deploying cutting-edge ML solutions. Expertise in machine learning frameworks, data analysis, and large language models (LLMs). Proven track record of delivering impactful, scalable, and data-driven solutions that optimize performance and drive business growth.

Iris Recognition expert - Tomasz W.
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Tomasz W.

Vetted Iris Recognition developer in Poland (UTC+2)

A voice engineer with extensive analytical and software experience of investigating and diagnosing network problem and also knowledge of IT operating systems. Extensive experience with VoIP and telecom equipment, standards and technologies.

Iris Recognition developer - Matei C.
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Matei C.

Vetted Iris Recognition developer in Czech Republic (UTC+2)

Matei is a versatile full-stack web developer with expertise in web technologies, focusing on React, TypeScript, and Node.js among many others. An Olympic-level mathematician, he is adept at crafting complex systems and is passionate about continuous learning. Known for excellent communication and teamwork, he's highly collaborative and easy to work with. In his leisure, Matei is a general aviation captain, enjoys camping with his rescue husky, Aku, and engages in strategy board games with friends.

Iris Recognition consultant - André S.
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André S.

Vetted Iris Recognition developer in Brazil (UTC-3)

I am a Data Engineer with over eight years of experience with data engineering and have worked since 2006 with databases. I started working with AWS in 2012 and always kept this provider as a focus, but I had also worked with GCP and Azure before. I built data pipelines with several architectures and tools for different purposes and companies' industries.

Iris Recognition engineer - Lucas H.
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Lucas H.

Vetted Iris 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

Iris Recognition engineer - Alex G.
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Alex G.

Vetted Iris Recognition developer in Argentina (UTC-3)

I been working in relation of Data treatment since 5 years now and was part of different clients that tought me about multiple disciplines and subjects, which gave me experience not only in modern technologies but as well as domain knowledge and client counseling.

Iris Recognition expert - Zubair A.
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Zubair A.

Vetted Iris Recognition developer in Pakistan (UTC-7)

🚀 Results-oriented Senior Machine Learning Engineer with a proven track record of delivering impactful AI solutions that drive business growth. Specializing in the development and deployment of cutting-edge algorithms, I have successfully enhanced customer churn prediction, boosted customer satisfaction scores, and improved fraud detection systems. 💡 Skilled in analyzing large datasets to design personalized recommendation engines and optimize machine learning pipelines for real-time data processing. My expertise extends to developing and fine-tuning Large Language Models (LLMs), implementing Agentic Retrieval-Augmented Generation (RAG) systems, and building intelligent chatbots to elevate natural language understanding, automate customer interactions, and simplify access to critical documentation. These systems go beyond traditional query-response mechanisms by providing context-aware, dynamic, and actionable insights. 🌐 Passionate about integrating state-of-the-art technologies to maximize model performance and operational efficiency. I consistently leverage my ability to research, innovate, and implement data-driven strategies that lead to measurable, game-changing outcomes. Always eager to push the boundaries of AI to deliver strategic value, transform business operations, and revolutionize user engagement through intelligent automation.

Iris Recognition expert - Usman H.
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Usman H.

Vetted Iris Recognition developer in Pakistan (UTC+5)

An accomplished Machine Learning Engineer with a rich and versatile background in both Data Science and MLOps, showcasing a wealth of expertise in the convergence of cutting-edge technologies.

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Why clients hire Iris Recognition developers with Arc

Without Arc by my side, I would be wasting a lot of time looking for and vetting talent. I'm not having to start a new talent search from scratch. Instead, I’m able to leverage the talent pool that Arc has created.
Mitchum Owen
Mitchum Owen
President of Milo Digital
The process of filling our position took less than a week and they found us a superstar. They've had the flexibility to meet our specific needs every step of the way and their customer service has been top-notch since day one.
Matt Gysel
Matt Gysel
Finance & Strategy at BaseVenture
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.
Philip Tsai
Philip Tsai
Director of Engineering at Chegg

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FAQs

Why hire an Iris Recognition developer?

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 an Iris Recognition 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 Iris Recognition developers can help keep your website up-to-date.

How do I hire Iris Recognition developers?

To hire an Iris 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 Iris Recognition developers effectively and efficiently. Hire full-time Iris 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 Iris Recognition 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 Iris 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 Iris Recognition developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Iris Recognition developers?

There are two types of platforms you can hire Iris Recognition 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 Iris 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 Iris Recognition developers, consider niche platforms like Arc that naturally attract and carefully vet their Iris Recognition developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Iris Recognition developers.

Some factors to consider when you hire Iris 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 Iris Recognition developers for hire.

How do I write an Iris Recognition developer job description?

Writing a good Iris Recognition developer job description is crucial in helping you hire Iris Recognition 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 Iris 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 Iris Recognition developers, read our Engineer Job Description Guide & Templates.

What skills should I look for in an Iris Recognition developer?

The top five technical skills Iris 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 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 Iris 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 Iris Recognition developers to keep up with evolving technology and requirements.

What kinds of Iris Recognition developers are available for hire through Arc?

You can find a variety of Iris 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 Iris Recognition developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Iris 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 engineers in various different time zones and countries for you to choose from.

Lastly, our remote-ready Iris Recognition developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.

Why is Arc the best choice for hiring Iris Recognition developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Iris 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 Iris Recognition developers.

Every Iris Recognition 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 Iris Recognition 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.

How does Arc vet a Iris Recognition developer's skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Iris 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 Iris 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 Iris Recognition developers, you can rest assured that all remote Iris Recognition developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.

How long does it take to find Iris Recognition developers on Arc?

Arc pre-screens all of our remote Iris Recognition developers before we present them to you. As such, all the remote Iris 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 450,000 candidates. You can also expect to hire a freelance Iris Recognition developer in 72 hours, or find a full-time Iris Recognition 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 Iris Recognition developers.

How much does a freelance Iris Recognition developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Iris Recognition developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Iris 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 Iris 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.

How much does it cost to hire a full time Iris Recognition developer?

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 Iris 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 Iris Recognition developers, check out our FAQs page.

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