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3,934 Remote Google cloud vertex ai developers and experts available to hire:

Andres G., Google cloud vertex ai developer
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Andres G.

Vetted Google cloud 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.

ceyhun K., Google cloud vertex ai developer
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ceyhun K.

Vetted Google cloud vertex ai developer in Turkey (UTC+2)

Having worked in different industries and having experience in different technologies, my primary goal is to introduce latest technology and methodologies to my customers with minimum cost and maximum stability. I like to work in inter-disciplinary fields and with hybrid technology stacks. Please see my github profile for the related work.

Jobin T., Google cloud vertex ai developer
Jobin T.

Google cloud 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

felipe A., Google cloud vertex ai developer
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felipe A.

Vetted Google cloud vertex ai developer in Brazil (UTC-3)

I have experience in research, data science, and machine learning. I have worked on projects related to deep learning, renewable energy, and dynamic discount algorithms. My education includes a PhD in Mathematical Modelling and a MicroMasters in Statistics and Data Science.

Santiago M., Google cloud vertex ai developer
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Santiago M.

Vetted Google cloud vertex ai developer in Chile (UTC-3)

I’m a **Senior Software Engineer** with **12+ years of experience** specializing in **backend architecture, performance optimization, and AI-driven automation**. At **Vial**, I led the development of key features for their **EDC platform**, improving **study management, visit scheduling, and regulatory automation**, while also reducing **API response times by ~30%** and **backend test runtime by 40%**. I have built scalable solutions for **healthcare, startups, and enterprise platforms**, serving as both a **technical leader and mentor**. My passion for **problem-solving and system efficiency** drives me to deliver impactful solutions that elevate businesses and teams.

kenechukwu A., Google cloud vertex ai developer
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kenechukwu A.

Vetted Google cloud vertex ai developer in Nigeria (UTC+1)

I’m a Software Engineer with 7 years of experience specializing in mobile app development, AI, and backend systems. I’ve built and scaled solutions using Python, Java, and Firebase, including an AI-powered agricultural tool that helps farmers optimize crop production. I’ve also led projects in healthcare, e-commerce, and sustainability, such as a parking space-sharing app and a decentralized healthcare data system. Passionate about innovation, I leverage my expertise to create impactful, problem-solving technologies.

Google cloud vertex ai developers developer - kenechukwu A.'s portfolio image
Israel ., Google cloud vertex ai developer
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Israel .

Vetted Google cloud vertex ai developer in Italy (UTC+1)

Fueled by a desire to make a tangible impact, I’m a Generative AI Engineer with a focus on deploying models in industries such as energy, healthcare, and telco. I’m excited to harness the power of AI to improve efficiency and sustainability.”All you need is a PoC”

Daniel T., Google cloud vertex ai developer
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Daniel T.

Vetted Google cloud vertex ai developer in the United States (UTC-4)

Visionary software engineering leader and architect with over 15 years of experience driving technological innovation, leading high-performing teams, and architecting scalable AI-driven platforms. Proven track record of successfully integrating cutting-edge AI technologies, such as OpenAI APIs, DALLE, and GPT-4, to create transformative SaaS solutions. Skilled in strategic planning, team building, and delivering complex software projects that leverage machine learning and natural language processing. Passionate about fostering a culture of continuous improvement and innovation, with a strong focus on harnessing the power of AI to revolutionize industries. Seeking a challenging role as a CTO or VP of Engineering to lead the development of groundbreaking AI products and guide organizations to the forefront of technological advancement. **Key Achievements** * Built an AI-driven SaaS application that generates creative ad copy and images using OpenAI's API, GPT-4, DALL-E 3, and a proprietary algorithm, taking the project from concept to launch.  * Scaled a health-tech SaaS platform 100 times, from 4K to 400K+ users within one year, by leading a 12+ person cross-departmental team and leveraging AI-powered personalization and automation.  * Reduced infrastructure costs by 30% and improved stability by architecting a microservices based platform on Google Cloud Platform (GCP), incorporating AI-driven optimization techniques.

Andrew F., Google cloud vertex ai developer
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Andrew F.

Vetted Google cloud vertex ai developer in the United States (UTC-5)

A software developer and system architect with a wide variety of experience including web app development, generative AI, and system design.

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

How do I hire Google cloud vertex ai developers?

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

Where do I hire the best remote Google cloud vertex ai developers?

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

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

How do I write a Google cloud vertex ai developer job description?

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

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

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

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

You can find a variety of Google cloud 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 Google cloud vertex ai developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Google cloud 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 Google cloud 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 Google cloud vertex ai developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Google cloud 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 Google cloud vertex ai developers.

Every Google cloud 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 Google cloud 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 Google cloud vertex ai developer's skills?

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

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

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

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

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