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

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Rinat A., freelance TensorRT developer
Rinat A.
Canada
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Senior Freelance TensorRT Developer

I'm a Machine Learning Solution Architect with over 10 years of experience in the field, specializing in the Biomedical, Finance, and Manufacturing sectors. I always strive to develop solutions that prioritize the end-user's needs. Beyond my technical skills, I'm recognized for my positive attitude and reliability in managing challenging projects. I'm passionate about both sharing my knowledge and continuing to learn.

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Umair J., freelance TensorRT developer
Umair J.
Pakistan
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Remote TensorRT Developer

Designed and implemented a Retrieval-Augmented Generation RAG system using Amazon Bedrock, Pinecone, and LangChain, improving data retrieval and contextual AI response for industry documents Created a comprehensive solution for identity graph management and product recommendation using AWS services, including AWS Neptune, AWS Personalize, AWS S3, AWS Glue, AWS API Gateway, AWS Lambda, AWS SageMaker, and AWS CloudWatch Proficient Machine Learning Engineer with hands-on experience in implementing cutting-edge algorithms and optimizations to enhance model performance and inference speed Proven track record in automating industrial processes through deep learning techniques, achieving exceptional accuracy rates even in challenging environments Experienced in curating diverse datasets, fine-tuning models, and implementing MLOps practices to streamline data capture, analysis, and model deployment workflows Proficient in developing real-time microservices systems with low latency and high throughput, employing technologies like Redis, SQLite, Flask, Docker, EKS, and Kubernetes. Skilled in transforming Python stacks into multi-threaded C applications for deployment on embedded and x86-64 devices, demonstrating adaptability across different platforms and architectures Recognized for boosting model accuracy through optimization algorithms such as Quantization, Pruning & Sparsification, and Knowledge Distillation, utilizing tools like Nvidia Tao toolkit Skilled in debugging and troubleshooting critical issues, ensuring smooth CI/CD pipeline operations and high-quality software delivery Experienced in managing and orchestrating containerized applications using EKS and Kubernetes to ensure scalable and reliable machine learning deployments.

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Christian S., TensorRT freelance coder
Christian S.
Japan
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Senior Freelance TensorRT Developer

Experienced Machine Learning Engineer with 6 years of expertise in machine learning, deep learning for computer vision, and NLP. Holds a Master's degree in Computer Science. Specializes in crafting custom AI solutions and simplifying complex topics for non-tech clients. Proficient in fundamental ML algorithms such as regression and clustering. Ready to bring your AI ideas to lif

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Abhishek T., TensorRT freelance programmer
Abhishek T.
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Freelance TensorRT Developer

Abhishek is a seasoned computer vision (CV) and artificial intelligence (AI) engineer with nearly a decade of experience in enterprise organizations, including GE Healthcare, Samsung, and Phililps. He's skilled in a number of languages (Python, C++), OS platforms (Linux, Windows), libraries (PyTorch, TensorFlow, Keras), and techniques (feature extraction, segmentation). Abhishek's past work includes camera images (2D + time, 2D + depth + time), ultrasound images (2D, 3D, 3D + time), and MR images (3D).

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Taleb Z., freelance TensorRT developer
Taleb Z.
Italy
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Freelance TensorRT Developer

Professionally accomplished AI expert with a Master's degree in AI and Robotics, currently pursuing a second Master's in AI. Seasoned computer software engineer with a strong foundation in machine learning and deep learning methodologies. Proficient in PyTorch and Python programming languages, demonstrating expertise across diverse domains of ML/DL, encompassing Computer Vision, Natural Language Processing (NLP), and Recommender Systems. Contributed to the field through the development of multiple ML/DL libraries. Dedicated to leveraging technology to address complex real-world challenges. Committed to ongoing professional development, characterized by efficiency, organization, and exceptional communication and interpersonal abilities.

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Haseeb J., freelance TensorRT programmer
Haseeb J.
Pakistan
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Freelance TensorRT Developer

With 3 years of experience in machine learning, computer vision, data science, NLP, and Python programming, I am passionate about enhancing my skills and reaching new heights in the software field. I am confident in my ability to contribute effectively to your team, leveraging my expertise in Python programming and cutting-edge technologies to develop and implement machine learning models and data-driven solutions.

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Aditya S., freelance TensorRT programmer
Aditya S.
India
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Freelance TensorRT Developer

As an AI/ML professional with over 4 years of experience, I possess a strong skillset in natural language processing (NLP), computer vision (CV), and recommendation systems. My expertise in these areas is best exemplified by my work on Smart Care Plan and Automatic Number Plate Recognition (ANPR), two highly impactful projects that required extensive knowledge of NLP, CV, and recommendation systems.

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YONG-LIN S., TensorRT freelance programmer
YONG-LIN S.
Taiwan
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Freelance TensorRT Developer

Over four years of experience as an R&D engineer, handling challenges ranging from architectural design to hardware selection. This role honed my skills in extensive research, self-learning, and stress management.

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Saksham C., TensorRT freelance developer
Saksham C.
India
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Senior Freelance TensorRT Developer

Innovative Artificial Intelligence Engineer with 6+ years of professional experience in application design, development, testing & deployment. Highly experienced in writing codes & algorithms and equipped with excellent mathematical, and statistical understanding. Possess an unbridled passion for AI and is tenacious in pursuing solutions through advanced computer vision & deep learning techniques.

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Why choose Arc to hire freelance TensorRT developers

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FAQs

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

How do I hire TensorRT developers?

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

Where do I hire the best remote TensorRT developers?

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

Some factors to consider when you hire TensorRT 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 TensorRT developers for hire.

How do I write a TensorRT developer job description?

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

What skills should I look for in a TensorRT engineer?

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

What kinds of TensorRT programmers are available for hire through Arc?

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

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

Every TensorRT 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 TensorRT 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 TensorRT 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 TensorRT skills?

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

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

How much does a freelance TensorRT developer charge per hour?

Depending on the freelance developer job board you use, freelance remote TensorRT developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find TensorRT 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 TensorRT 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 TensorRT 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 TensorRT 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 TensorRT developers, check out our FAQs page.

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