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Vetted Gcp vertex ai developer in Nigeria (UTC+1)
Cloud-native and enterprise experience, Algorithms, SQL & NoSQL, EAI, Microservices, OAUTH2 & OpenID Connect, DevOps, AI. Agile Scrum Experience.
Vetted Gcp vertex ai developer in Argentina (UTC-3)
Fan of solving complex problems. I like a lot to help people and enterprises to reach their goals, at the same time I reach mine. Full-stack web developer, closest to the backend, but a real geek of frontend anyway. I'm always checking the cutting-edge technologies and tools that help me in my day-bu-day work. Enthusiastic of videogames, Unity developer and currently learning 3D modeling too. There's nothing that blocks my learning because as a programmer I enjoy so much being a self-learner. My biggest goal is to develop my career helping companies from all over the world.
Vetted Gcp vertex ai developer in Mexico (UTC-7)
Data Scientist & AI Engineer with over 4 years of expertise in Machine Learning, NLP, and Large Language Models (LLMs). Demonstrated proficiency in designing and deploying scalable data solutions and fine-tuning transformer models. Experienced in optimizing performance through technologies such as FastAPI and Docker, while leveraging Google Cloud and Azure to enhance operational efficiency. Experienced in developing systems that drive business value by improving decision-making, and data processing capabilities.
Gcp vertex ai developer in the United States (UTC-4)
As a senior backend software engineer with over a decade of experience designing high-reliability systems, integrating machine learning models, and building scalable infrastructure, I bring a proven ability to deliver impactful solutions across content safety, cybersecurity, and distributed backend systems. In my most recent role, I led development of media classification pipelines that supported real-time content moderation and spam detection across millions of uploads. I architected and maintained backend services that integrated ML models—including computer vision classifiers—into production environments with high availability and low latency. I also developed internal tools and review interfaces that supported model training, human validation workflows, and Trust & Safety operations. My prior experience includes building distributed backend systems for malware detection and behavioral analysis within federal cybersecurity agencies. I helped design a threat intelligence platform that parsed, analyzed, and flagged high-volume email traWic using RabbitMQ, Elasticsearch, and MongoDB. Additionally, I maintained enterprise-wide intrusion detection and forensic systems, writing custom signatures and managing sensor grid infrastructure. Technically, I’m comfortable across modern stacks: Python, Docker, Kubernetes, Redis, ReactJS, PHP, and both AWS and GCP. I’ve implemented CI/CD Jenkins pipelines, orchestrated Kubernetesbased task queues, and collaborated across engineering and security teams to improve reliability, observability, and system performance. I take pride in writing clean, testable code and enjoy solving hard infrastructure and security problems at scale. I’d welcome the opportunity to bring this experience to a high-impact team tackling real-world challenges.
Gcp vertex ai developer in Pakistan (UTC-5)
**[Senior Machine Learning Engineer](https://www.linkedin.com/in/awais-amin-550693210)** Over 5 years of experience in designing and deploying AI/ML solutions, data science applications, and MLOps pipelines across diverse industries. * **Core Expertise**: Proficient in AI/ML and deep learning techniques, including Natural Language Processing (NLP), Computer Vision (CV), Generative AI (GenAI), Large Language Models (LLMs), Retrieval augmented generation (RAG), vector databases and Video/Image (Diffusion Models). * **Leadership and Execution**: Successfully led the end-to-end development of 4+ projects, from concept to deployment, working both individually and within cross-functional teams. * **Technical Proficiency**: Skilled in Object-Oriented Programming (OOP), unit testing, SDLC, CI/CD pipelines, Agile methodologies, and SOLID principles to ensure robust and scalable solutions.
Vetted Gcp 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.
Vetted Gcp vertex ai developer in Nigeria (UTC+1)
I am a Senior DevOps/SRE with a decade years of experience, specializing in multi-cloud platforms (AWS, GCP, Azure, OCI) and infrastructure. As a remote Senior DevOps Engineer at Binance, I contributed to a billion-dollar project. My skills include CI/CD tools, IAC with Terraform, Ansible, Docker, Kubernetes, and strong Python and Bash scripting. Additionally, I'm experienced in monitoring and observability using Prometheus, Grafana, ELK stack, and more. My expertise spans both infrastructure, security, and development, ensuring optimal project outcomes. Skills not limited to * AWS, GCP, Azure * Docker, Kubernetes * Terraform (IAC) * CI/CD ( GitHub actions, Gitlab ci, Jenkins) * Python and Bash * Linux * GitOps (ArgoCD, Calico, LinkerD) * Blockchain
Vetted Gcp vertex ai developer in Brazil (UTC-3)
As a Senior Full-Stack Engineer with over 16 years of experience developing full-featured software solutions, I have a robust knowledge of Angular, React, Next.js, NodeJS (Express), Python (FastAPI), and the SDLC from End-to-End, which I use to create innovative services and applications. I have extensive experience using Agile methodologies and the Scrum Framework, and I am passionate about making the most efficient solutions. Technologies: Angular, React, Node, Python, GitHub, REST API, SQL, JavaScript, TypeScript, JQuery, Docker, C#, Java, and more.
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)
Vetted Gcp vertex ai developer in India (UTC+6)
Meet Harsh, a dedicated member of the Applied AI Engineering team at Target, with a focus on implementing the genAI components using Vertex AI, OpenAI and open source models. This includes working extensively with Foundation Model APIs, Search and Conversation, Model Garden, and Vector Search. My role allows me the opportunity to leverage the latest and most advanced models and products from the Generative AI community. Harsh was engaged in building a MLOps platform from scratch by building abstraction layers with scalable APIs. Proficient in Python, AWS, GCP, Spring Boot, Java, Scala, Kafka, PyTorch, TensorFlow, Flask, FastAPI, React, and Docker, Harsh's expertise spans a wide range of technologies. He is a professional introvert who thrives on writing to learn and continually seeks new knowledge every day. Harsh's fascination with Data Science stems from his mathematical captivation and love for questioning existing processes and assumptions. He excels in developing novel methods and analytical algorithms, constantly striving for consistent improvement. His proficiency in Machine Learning encompasses various algorithms, including Decision Trees, Regression, Classification, Neural Networks, Ensemble methods, Kernel Methods, SVMs, Markov Decision Processes, Game Theory, and Bayesian Learning. Additionally, Harsh has a strong grasp of statistical techniques such as Regression Analysis, Time Series Forecasting, Hypothesis Testing, and A/B Testing. He is experienced in working with applications and databases like Tableau, GitHub, Power BI, Qlik, MySQL, PostgreSQL, Apache Spark, AWS Redshift, DynamoDB, Cassandra, and Hive. Harsh's multifaceted personality shines through in his work and social interactions. As a machine learning enthusiast and sociable individual, he excels in client-facing roles, actively engaging with stakeholders to understand their needs and provide effective solutions. His passion for crunching numbers and working with datasets, alongside creating compelling visualizations, enables him to reveal the stories hidden within the data. Harsh firmly believes in empathy and gratitude, fostering positive work environments and delivering outstanding results. He places great importance on clear communication and defining requirements meticulously to ensure the team achieves the desired outcomes. Outside of work, Harsh cherishes meeting new people, engaging in meaningful conversations, and building valuable relationships. This trait complements his networking skills, making him a valuable asset in both professional and social spheres.
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Ready to hire your ideal Gcp vertex ai developers?
Get startedArc offers pre-vetted remote developers skilled in every programming language, framework, and technology. Look through our popular remote developer specializations below.
Arc helps you build your team with our network of full-time and freelance Gcp vertex ai developers worldwide.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.