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200 Remote Google cloud vertex ai developers and experts available to hire:

Remote Google cloud vertex ai coder - Yassine L.
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Yassine L.

Vetted Google cloud vertex ai developer in Canada (UTC-4)

Hacker, tinkerer, curious and always up for exploring and learning new things. I thrive in solving problems, and building systems while keeping up with the highest standard thereof. I have quite some milage in backend software development and data engineering. And I often wear as many hats as necessary to do the job. **Skills:** Python, Scala, Rust, Golang, Java, Bash, SQL, NoSQL, Vertica, ScyllaDB, MongoDB, Teradata, Apache Druid, Kafka, Hadoop, Apache Spark, Apache Beam, Amazon Web Services, Google Cloud Platform, Grafana, Prometheus, Datadog, Emacs, Vi, Intellij, Git, Mercurial, Github Actions, CircleCI, Linux, FreeBSD

Remote Google cloud vertex ai coder - Richardson D.
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Richardson D.

Vetted Google cloud vertex ai developer in Canada (UTC-4)

\- Debugging / Deployment / Annoying app dev issues – I love a good challenge 🛟 [https://www.richdackam.com](https://www.richdackam.com) Become a Cursor AI Expert [https://www.youtube.com/@codewithrich](https://www.youtube.com/@codewithrich) Want to learn how to build with AI? [https://joinaifounders.club](https://joinaifounders.club)

Remote Google cloud vertex ai expert - Abdel T.
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Abdel T.

Vetted Google cloud vertex ai developer in Canada (UTC-4)

**Senior Software & Data Engineer | Scalable Systems | Cloud & ML Expertise** Highly driven software engineer with **20+ years of experience**, including **8+ years specializing in data engineering and machine learning projects**. Passionate about solving complex data challenges and driving innovation through intelligent architecture, data pipeline automation, and large-scale analytics. Seeking impactful, forward-thinking projects where I can apply a unique blend of **software engineering, mathematics, and machine learning** expertise to help organizations extract real value from their data. * Deep expertise in **application architecture, system design, and full-stack software development**, with a strong foundation in **object-oriented programming**, design patterns, and distributed systems. * Proven ability to build and scale **production-grade data platforms** using technologies like **Apache Airflow, Apache Spark, Kafka**, and **Kubeflow**. * End-to-end experience across the **data lifecycle**: acquisition, ingestion, ETL/ELT transformation, warehousing, and data modeling. * Strong command of **SQL and NoSQL**, particularly in **schema design, performance tuning, query optimization**, and **data modeling** for analytics and ML workloads. * Proficient in **Python, Java, Scala, Bash, and JavaScript**, with practical, hands-on experience developing in **cloud-native environments**. * Skilled in **Google Cloud Platform (GCP)** services (Dataproc, BigQuery, Dataform), **Spring MVC**, **Dropwizard**, and modern **microservices architecture** using **RESTful APIs**. * Experienced in DevOps and automation using **CI/CD pipelines** (Cloud Build, Jenkins, GitHub Workflows), along with containerization and orchestration tools such as **Docker** and **Kubernetes**.

Remote Google cloud vertex ai developer - Su S.
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Su S.

Vetted Google cloud vertex ai developer in Canada (UTC-8)

Senior Full Stack Developer with 10+ years of experience in scalable applications, specializing in cloud-based infrastructures. Skilled in delivering high-quality features with TypeScript, JavaScript, React, Next.js, and Node.js. Proven expertise in designing and implementing RESTful APIs and microservices, and mentoring engineering teams to foster best practices and technical excellence.

Remote Google cloud vertex ai developer - Saniasnain M.
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Saniasnain M.

Vetted Google cloud vertex ai developer in Canada (UTC-4)

Google Cloud Certified Professional Data Engineer and Big Data Enthusiast with 5 years of experience in designing and implementing and architecting autonomous and on-demand Cloud Data Engineering ETL pipeline solutions to load data from both batch and streaming sources into Data Warehouses, Data Lakes and Systems Migration to the Cloud. Looking for opportunities to translate my expertise and experience in Google Cloud into efficient ETL Data Pipeline and Warehouses.

Remote Google cloud vertex ai engineer - Douglas M.
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Douglas M.

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

Experienced Software Engineer with eighth years in the tech industry, cloud computing, and scripting. My self-taught journey has equipped me with hands-on skills in application development and infrastructure management, with a strong emphasis on solutions for principal cloud platforms like GCP, AWS, and Azure. I am adept at transforming complex ideas into functional and efficient software systems, ready to contribute to innovative and challenging projects. https://www.kungfudev.com/

Remote Google cloud vertex ai coder - Victor N.
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Victor N.

Vetted Google cloud vertex ai developer in Canada (UTC-5)

As a team player, I am committed to understanding clients' needs and developing enterprise software systems that deliver business value. My expertise is in distributed systems, search, data persistence and DevOps. Over the past 14+ years, I have been consistent in developing enterprise systems using C# .Net, Python (Django, FastAPI, Twist, Tornado), Java (Play, Spring Boot), Javascript( Nodejs, Expressjs), Go(GoMicro, Gin). I deploy most of the solutions on clouds such as Azure, AWS and GCP, and I have strong experience working with databases such as MSSQL, MySQL, Postgres, MongoDB, Firebase, Redis, and DynamoDB. I enjoy using Terraform, Ansible or Cloudformation for Infrastructure as Code (IAC) to manage cloud-based infrastructure. I am well-versed in message brokers such as RabbitMQ, Redis, Celery, Kafka, AWS SQS, which are essential for building reliable distributed systems. I thrive in collaborative environments. If you are looking for a skilled software engineer who can help your business build modern, scalable systems, please don't hesitate to contact me.

Remote Google cloud vertex ai architect - Tiamiyu O.
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Tiamiyu O.

Vetted Google cloud vertex ai developer in Canada (UTC-4)

I am an experienced and highly creative senior software engineer with 10+ years of experience. I am proficient in a variety of technologies, including and not limited to Java, PHP, JavaScript, Node.js, Python, TypeScript, Spring MVC, React, Angular, Vue, Laravel, CodeIgniter, HTML5 & CSS3, PostgreSQL, Oracle, and MongoDB. I am also proficient working with Linux servers, cybersecurity tools, and Cisco network devices. I have a proven track record of delivering quality service and successful project outcomes. I am confident in my ability to develop, test, deploy, and maintain the latest technology. In addition to my Software development skills and experience: I have experience with a variety of: Software development methodologies, including Agile and Scrum. Cloud computing platforms include Amazon Web Service (AWS), Azure, and Google Cloud Platform (GCP). DevOps tools, including Git, Jenkins, and Bash scripting. I am confident that I can make a significant contribution to your organization. I am a hard worker and I am always willing to go the extra mile. I am also a team player and always willing to help others. I have worked as an independent and collaborative team player. I am excited to bring my skills to your organization and contribute to your success. Let's work together!

Google cloud vertex ai developers developer - Tiamiyu O.'s portfolio image
Google cloud vertex ai developers developer - Tiamiyu O.'s portfolio image
Remote Google cloud vertex ai programmer - Robby S.
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Robby S.

Vetted Google cloud vertex ai developer in Canada (UTC-7)

Highly autonomous senior software developer with a proven track record of delivering high-impact projects with full-stack expertise. Skilled in leading small teams, collaborating with cross-functional teams, and driving continuous improvement in software development. Proficient in a range of technologies, including Java, Python, Golang, and React, with a strong ability to quickly learn new technologies and adapt to changing project requirements.

Remote Google cloud vertex ai expert - Jatin M.
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Jatin M.

Vetted Google cloud vertex ai developer in Canada (UTC-4)

I enjoy designing, building and deploying Machine Learning solutions as an end to end scalable products. 🛰 I’ve built AI/ML capabilities from the ground up in organizations of all sizes on two continents, from Fortune 250 companies to early age startups. 🚩 I'm a Mentor and Advisor to various early stage AI startups. 👨‍🔬 I’ve spearheaded the development of high-performance, data-driven products across multiple industries, from real-time model training to AI agents powered by the latest advancements in Large Language Modes (LLMs). 🌍 𝕂𝕖𝕪 𝕀𝕟𝕟𝕠𝕧𝕒𝕥𝕚𝕠𝕟𝕤 & 𝔸𝕔𝕙𝕚𝕖𝕧𝕖𝕞𝕖𝕟𝕥𝕤: 𝗙𝗲𝗮𝘁𝘂𝗿𝗲 𝗦𝘁𝗼𝗿𝗲 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 (Offline & Online) – U.S. Patent Filed 𝗗𝗮𝘁𝗮 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 (DQM) – U.S. Patent Filed 𝗟𝗟𝗠 𝗙𝗶𝗻𝗲-𝗧𝘂𝗻𝗶𝗻𝗴 for Text Generation – U.S. Patent Filed Gen𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀, RAG, Vector DBs, Prompt Flows, LLMs, Function Calling 𝗡𝗲𝗮𝗿 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗠𝗼𝗱𝗲𝗹 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 & 𝗜𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 Architecting 𝗹𝗼𝘄-𝗹𝗮𝘁𝗲𝗻𝗰𝘆, 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗠𝗟𝗢𝗽𝘀 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 with millisec performance Trained numerous high-performance ML models across domains 𝕋𝕖𝕔𝕙𝕟𝕚𝕔𝕒𝕝 𝔼𝕩𝕡𝕖𝕣𝕥𝕚𝕤𝕖 & 𝕋𝕠𝕠𝕝𝕤 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗠𝗼𝗱𝗲𝗹𝘀 – Claude 3.5 Sonnet, Llama 3, GPT-4, Titan Text Embeddings v2 𝗔𝗜 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 – Azure AI Studio, Amazon Bedrock, LangChain, LangSmith, Llama Index, Hugging Face 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 – Python, CI/CD, AWS CDK, Serverless, API, Shell Scripting, JSON, YML 𝗕𝗶𝗴 𝗗𝗮𝘁𝗮 – Apache Spark, Hadoop, Airflow, Redshift, Oracle, Snowflake, Databricks 𝗔𝗪𝗦 – EMR, Sagemaker, Glue, DynamoDB, Aurora, Lambda, API Gateway, EC2, Fargate, ECS, ECR, Cloud Formation, Step Function, Events, Athena, S3, ALB 𝗚𝗖𝗣 – BigQuery, Cloud Functions, Google Vertex Platform, DataProc, Cloud Run 𝐖𝐞𝐛 - Streamlit, Flask, HTML, CSS, JavaScript 𝕄𝕒𝕔𝕙𝕚𝕟𝕖 𝕃𝕖𝕒𝕣𝕟𝕚𝕟𝕘 𝔻𝕠𝕞𝕒𝕚𝕟: ~ User Personalization (Recommendation/Matching) ~ Pricing ~ Chatbots (GenAI LLM Agents) ~ Customer CLTV, Retention & Segmentation ~ Fraud Detection (Anomoly) ~ Advanced Analytics

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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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Google cloud vertex ai developers
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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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