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Arc helps you find and hire top freelance GPU Acceleration 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 GPU Acceleration developers and experts that you can trust.

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varun S., freelance GPU Acceleration developer
varun S.

GPU Acceleration developer in India

Experienced AI/ML Engineer with over 5 years of full-stack AI/ML solution development, specializing in Large Language Models (LLM), Generative AI, and GPT. Proficient in integrating state-of-the-art research into practical AI architectures successfully implemented LLM and Generative AI products in media and entertainment sectors. My leadership skills are demonstrated through guiding a team of five in AI/ML innovations, fostering a culture of continuous learning and innovation § **END-TO-END AI/ML SOLUTIONS:** Demonstrated proficiency in full-stack AI/ML development, with a comprehensive background in **_LLM, Generative AI, Computer Vision, NLP, MLOps, and data engineering_,**leading to the delivery of robust AI products and actionable solutions for complex business challenges. § **STRATEGIC AI LEADERSHIP:** As a team leader and mentor, **guided AI/ML teams in developing and executing visionary AI** strategies aligned with company goals. This includes **managing vendor relations, heading project teams, and fostering a culture of continuous innovation and learning.** § **AI RESEARCH AND DEVELOPMENT_:_** Adapted cutting-edge research into practical applications, significantly **enhancing AI architectures for business use cases.** Notably authored **award-winning research** papers on digital governance and developed predictive models for e-governance, earning recognition in national reports. § **Diverse AI Framework Proficiency:** Showcased versatility across multiple AI platforms and tools, including **TensorFlow, PyTorch, FastAPI, and various cloud services**. This also encompasses the deployment of machine learning models, **leveraging Docker, Kubeflow, and MLflow, and optimizing infrastructure for scalability**.

Ankit M., freelance GPU Acceleration developer
Ankit M.

Freelance GPU Acceleration developer in the United Arab Emirates

An acccomplished AI leader with proven experience in pioneering data science incubators and building scalable AI/ML solutions in Fortune 500 companies. Adept in steering the AI and Generative AI (GenAI) strategy, from use-case discovery to responsible implementation and deployment. Experience in building global data science teams including hiring, mentoring, and fostering technical excellence. Deep practical knowledge of the full life cycle of AI and GenAI, with proficiency in communicating complex AI concepts from developers to executives.

Alexander P., GPU Acceleration freelance coder
Alexander P.

GPU Acceleration developer in the United States

Software engineer and engineering team lead with experience across hardware and software systems. Over nine years into my professional journey, I've had the privilege to build and deploy products aligned with my passion at the intersection of sensing, robotics, computer vision, and computer graphics.

Andrew E., freelance GPU Acceleration programmer
Andrew E.

Freelance GPU Acceleration developer in the United States

Platform Engineer and Site Reliability Engineering (SRE) specialist with over 7 years of experience in designing large-scale distributed systems and artificial intelligence/machine learning (AI/ML) infrastructure. Skilled in optimizing high-intensity workloads, implementing observability, and automating infrastructure processes. Successfully reduced operational costs and improved system reliability while creating robust monitoring solutions for AI/ML pipelines. Proven ability to enhance system performance through innovative telemetry solutions and infrastructure optimization.

jared M., freelance GPU Acceleration developer
jared M.

GPU Acceleration developer in the United States

Proven Software engineer working in startup environment requiring independent direction, and self-reliant execution. Acting as the go to software developer in an eight-person company I am responsible for our high-speed signal processing applications and our visualization software. I have experience working with scientist and engineers taking a deep-tech business from concept to working prototype. Our chief scientist invented a new coherent LiDAR modality, and I was part of the team that took his idea and made a functioning system.

Thomas D., freelance GPU Acceleration programmer
Thomas D.

Freelance GPU Acceleration developer in the United States

I have a PhD at the intersection of programming languages and high performance computing / distributed systems, with substantial additional job experience in designing novel AI/ML architectures, plus substantial hobbyist experience in computer graphics and game engine technology. I've been leading two cross-functional teams (totaling 9 engineers+scientists) as Chief Science Officer of a deep-tech startup for most of the last few years, with ongoing tactical deployment as an individual contributor to solve thorny problems other team members can't. Bring me in to solve gnarly computational problems in a scalable and long-term maintainable way. Experienced building safe APIs so that downstream developers can go about their life without worrying about the complexity of the problems I solved. I am motivated by solving hard problems, and have an extraordinarily broad mathematical/computational toolkit allowing me to design and deploy solutions from perspectives most other developers would not have considered.

Garrett M., GPU Acceleration freelance developer
Garrett M.

GPU Acceleration developer in the United States

Machine Learning Engineer and Data Scientist with 9 years of experience in the field and a passion for enabling speed, scale, and quick feedback loops for data practitioners. My experience varies across designing and deploying infrastructure, building robust data pipelines, creating systems for developing, deploying, and monitoring models, and leading cross-functional teams in designing Machine Learning systems for production.

Thiel P., freelance GPU Acceleration developer
Thiel P.

Freelance GPU Acceleration developer in the United States

I'm a Machine Learning Engineer with 3 years of experience. I’ve built data pipelines, optimized databases, built and deploy ML models. I enjoy taking impactful initiatives, like reviewing the team's cloud usage and cut cost by 40%. I’m all about solving problems and building practical solutions.

Shahrear A., GPU Acceleration freelance programmer
Shahrear A.

Freelance GPU Acceleration developer in Bangladesh

Backend-Heavy Fullstack Developer with 4 years of professional experience. Skilled in Python, FastAPI, Flask, Node.js, Javascript, Typescript, REST/RESTful APIs, GraphQL, Flutter and React. A good problem solver and competitive programmer. Certified AWS Solution Architect and GCP Cloud Engineer with expertise in cloud technologies. Writing bug-free, efficient, and clean code, which can be easily extended and reused in any project. Always pushing myself to the edge to achieve the best possible result. I have worked on various projects involving cloud infrastructure, microservices, and testing automation.

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FAQs

Why hire a GPU Acceleration 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 a GPU Acceleration 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 GPU Acceleration developers can help keep your website up-to-date.

How do I hire GPU Acceleration developers?

To hire a GPU Acceleration 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 GPU Acceleration developers effectively and efficiently. Hire full-time GPU Acceleration 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 GPU Acceleration 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 GPU Acceleration 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 GPU Acceleration developer for your company, and let Arc handle the logistics.

Where do I hire the best remote GPU Acceleration developers?

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

Some factors to consider when you hire GPU Acceleration 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 GPU Acceleration developers for hire.

How do I write a GPU Acceleration developer job description?

Writing a good GPU Acceleration developer job description is crucial in helping you hire GPU Acceleration 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 GPU Acceleration 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 GPU Acceleration programmers, read our Software Engineer Job Description Guide & Templates.

What skills should I look for in a GPU Acceleration engineer?

The top five technical skills GPU Acceleration 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 GPU Acceleration 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 GPU Acceleration developers to keep up with evolving technology and requirements.

What kinds of GPU Acceleration programmers are available for hire through Arc?

You can find a variety of GPU Acceleration developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance GPU Acceleration programmers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote GPU Acceleration 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 GPU Acceleration 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 GPU Acceleration developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled GPU Acceleration developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire GPU Acceleration developers.

Every GPU Acceleration 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 GPU Acceleration 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 GPU Acceleration 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.

How does Arc vet a developer’s GPU Acceleration skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted GPU Acceleration 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 GPU Acceleration 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 GPU Acceleration developers, you can rest assured that all remote GPU Acceleration 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 GPU Acceleration developers on Arc?

Arc pre-screens all of our remote GPU Acceleration developers before we present them to you. As such, all the remote GPU Acceleration 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 GPU Acceleration programmer in 72 hours, or find a full-time GPU Acceleration 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 GPU Acceleration developers.

How much does a freelance GPU Acceleration developer charge per hour?

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

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 GPU Acceleration 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 GPU Acceleration developers, check out our FAQs page.

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