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2,606 Remote Gcp vertex ai developers and experts available to hire:

Amit Y., Gcp vertex ai developer
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Amit Y.

Vetted Gcp vertex ai developer in India (UTC+6)

Personable, tenacious and Senior Machine learning Operation(MlOps) engineer with years of experience in AI Research and analyst environments. Exhibits excellent organizational and problem-solving skills. Works well in team environments and displays strong work ethic

Andres G., Gcp vertex ai developer
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Andres G.

Vetted Gcp vertex ai developer in Colombia (UTC-5)

Physicist with a Master’s degree in AI and extensive experience in machine learning, NLP, and predictive analytics. Experience with machine learning and data analysis with background in creation of traditional classification and regression models (SVM, Logistic Regression, Random Forest, etc) and deep neural networks. Skills in SQL, Pandas, Numpy and Sklearn for data analysis as well as Seaborn, and Power BI for data visualization. Experience using Tensorflow and Pytorch for creation of NN’s. Knowledge of SQL. Experience in NLP, using RAG techniques on open source LLMs. Experience in Google Cloud Platform (GCP). Undergraduate degree in Physics with experience in simulation of physical systems and computational physics.

Vikram P., Gcp vertex ai developer
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Vikram P.

Vetted Gcp vertex ai developer in India (UTC+6)

I am an AI/ML Architect and Full-Stack Developer with over 10 years of experience in designing and delivering advanced software solutions in Healthcare. As a Forbes 30 Under 30 Asia healthcare honoree and Y Combinator alumnus, I have successfully built HIPAA-compliant level cloud architectures and scaled enterprise applications. I have a strong background in NLP, LLMs, and DevOps, and I am dedicated to leveraging AI to revolutionize healthtech and other industries.

Stuart B., Gcp vertex ai developer
Stuart B.

Gcp vertex ai developer in the United Kingdom

A forward-thinking executive with 22 years of experience, holding a BSc, MBA and pursuing a part-time doctorate in AI & CRM, I stand at the intersection of technology, marketing & finance. • Strategic Digital Transformation: Architect and develop end-to-end digital ecosystems that align business goals with technology. Build custom mobile (Swift) / web (JS) applications and CRM automation while engineering cloud solutions (AWS, GCP, Azure) to deliver scalable, ROI-focused enterprise systems. • Data-Powered Business Growth: Transform business intelligence into actionable strategies through advanced analytics, ML-driven segmentation, and real-time visualisation solutions, consistently delivering measurable ROI across digital initiatives. • Enterprise & Startup Acceleration: Proven track record of architecting and scaling digital transformations from startup ventures to enterprise solutions for global leaders (HP, Asus, Vodafone, BT) and regional powerhouses (STC, Almarai, SAIB), with a focus on rapid market positioning and sustainable growth.

Weijing L., Gcp vertex ai developer
Weijing L.

Gcp vertex ai developer in the United States (UTC-7)

Results-driven generalist with 12+ years of experience overseeing the entire SDLC, from concept to deployment, delivering market-ready products that have fueled company growth and generated hundreds of millions in revenue. Some of my work includes, but is not limited to: • Intuit GenStudio: Led the development of an AI-powered platform as part of Intuit’s $10 billion AI transformation initiative, integrating GenAI/LLM technologies like OpenAI GPT, Meta LLAMA, Google Gemini, and Anthropic Claude. The platform supports 7,000+ employees with 50% activation and 20% daily usage. (2023–2024) • Meta AIM Data Integrity: Led a team managing data integrity across multiple AI projects, collaborating with 300+ third-party labelers on command detection, hate speech detection, music copyrights, and voice transcription. Contributed to the prototyping of Facebook Portal (Meta Portal), which generated $280M in revenue. (2022) • Google Devices & Services: Developed manufacturing testing tools for phones, watches, and tablets, ensuring high-quality product delivery using Angular, TypeScript, Python, and TensorFlow ML technologies. (2024)

Gcp vertex ai developers developer - Weijing L.'s portfolio image
Usman H., Gcp vertex ai developer
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Usman H.

Vetted Gcp vertex ai 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.

Betim S., Gcp vertex ai developer
Betim S.

Gcp vertex ai developer in Albania (UTC+1)

Senior backend engineer with a track record of building high-scale SaaS platforms, CRMs, e-commerce stores, and AI-driven applications serving thousands of users. Specialized in multi-tenant architectures, real-time communication, and AI-powered automation. Proven ability to optimize system performance, reduce infrastructure costs, and deliver business impact. Open to SaaS and large-scale system challenges.

Sandra Z., Gcp vertex ai developer
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Sandra Z.

Vetted Gcp vertex ai developer in Colombia (UTC-5)

_I am a software engineer with 6 years of experience in software development, specialising in Python. I have expertise in using DJango and various AWS services to build scalable solutions. I hold a Master's degree in Artificial Intelligence and am well-versed in agile methodologies such as Scrum._

Jobin T., Gcp vertex ai developer
Jobin T.

Gcp vertex ai developer in the United States (UTC-5)

I am an energetic Machine Learning Engineer with 8 years of machine learning and data science experience at Superior Data Science LLC, S&P Global, Citigroup Data Science, Bell Flight, and UTSW Neuroscience. I excel in team environments, finance expertise, and integrating artificial intelligence. I am eager to partner with and lead a forward-focused organization to enhance its data science and deliver actionable insights from machine learning and mlops

Abid Y., Gcp vertex ai developer
Abid Y.

Gcp vertex ai developer in the United States (UTC-4)

Experienced ML/AI DevOps Engineer with a strong foundation in Python, cloud technologies (AWS, GCP, Azure), and modern DevOps tools (Docker, Kubernetes, Jenkins). Over 15 years of software development experience, specializing in automating machine learning workflows, integrating DevOps with AI/ML operations, and driving high-performance solutions. Proven track record in deploying scalable AI models and supporting CI/CD pipelines for machine learning projects.

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Why clients hire Gcp vertex ai 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 a Gcp vertex ai 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 Gcp vertex ai 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 Gcp vertex ai developers can help keep your website up-to-date.

How do I hire Gcp vertex ai developers?

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

Where do I hire the best remote Gcp vertex ai developers?

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

Some factors to consider when you hire Gcp vertex ai 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 Gcp vertex ai developers for hire.

How do I write a Gcp vertex ai developer job description?

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

What skills should I look for in a Gcp vertex ai developer?

The top five technical skills Gcp vertex ai 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 Gcp vertex ai 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 Gcp vertex ai developers to keep up with evolving technology and requirements.

What kinds of Gcp vertex ai developers are available for hire through Arc?

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

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

Every Gcp vertex ai 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 Gcp vertex ai 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 Gcp vertex ai developer's skills?

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

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

How much does a freelance Gcp vertex ai developer charge per hour?

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

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