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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.
Remote Gcp vertex ai developer in Denmark (UTC+2)
Results-driven Enterprise Architect with over 25 years of experience leading the design and delivery of complex, large-scale, real-time data solutions for global enterprises. A key strength is the ability to bridge the gap between business and technology stakeholders, ensuring alignment and the successful execution of strategic initiatives. Demonstrated success in spearheading major projects and digital transformations for leading organizations including Microsoft, Accenture, IKEA, Airbus, Ørsted, Neo4j, Epicor, Platform9, and EPlan. Demonstrated ability to drive innovation and consistently deliver measurable results. Adept at translating business objectives into actionable technical strategies, I bring deep expertise in Generative AI, advanced AI/ML techniques, big data solutions, robust data ingestion frameworks, enterprise architecture, and governance models. I design and implement scalable architectures for Generative AI-based applications, addressing challenges such as latency, fine-tuning, model monitoring, and cost optimization. My experience spans the full lifecycle of digital cloud transformation—from strategic roadmapping and stakeholder engagement to the development of scalable, effective operational models. I have a strong track record of fostering collaboration, streamlining team dynamics, and implementing FinOps strategies to optimize cost-efficiency without compromising performance. Recognized for thriving in fast-paced, high-performance environments, I excel both as an independent project leader and as a collaborative team contributor. With a Master’s in Computer Science and a passion for continuous learning, I am committed to delivering forward-thinking, future-proof solutions that drive long-term organizational success.
Remote Gcp vertex ai developer in the United States (UTC-4)
Experienced AI/ML Engineer with over 8 years of success building and deploying machine learning systems, including LLMs, on scalable cloud platforms like AWS, GCP, and Azure. Skilled in designing full-stack ML pipelines—from data preprocessing and model training to real-time inference and production monitoring. Deep expertise in NLP, deep learning, and generative AI, with hands-on work fine-tuning and serving LLMs using PyTorch, TensorFlow, and Hugging Face Transformers. Skilled at bridging research and engineering, with a track record of optimizing models for performance, latency, and cost in cloud-native environments. Motivated by building secure, high-impact AI solutions that scale.
Remote Gcp vertex ai developer in India (UTC+6)
Experienced Data Science and AI Engineering professional with 6 years of expertise in leading teams and deploying advanced AI models. Proficient in Python and well-versed in AI frameworks, with a strong track record of developing and implementing industry-specific machine learning and deep learning solutions. Proven ability to drive innovation through scalable AI systems and collaborative leadership. Open to roles in AI development, research, or engineering where I can contribute to building impactful and innovative AI technologies
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.
Vetted Gcp vertex ai developer in Argentina (UTC-3)
Data Scientist with over 4 years of experience developing and training machine learning models to solve real-world problems. Skilled in Python, TensorFlow, Flask, and cloud platforms like Vertex AI and Azure Databricks. Passionate about mathematics, statistics, and technology, and driven to build impactful, data-driven solutions.
Remote Gcp vertex ai developer in Pakistan (UTC+5)
Lead Full-Stack Engineer and AWS Certified AI Practitioner with 10+ years of experience designing scalable, secure applications that drive business impact. Skilled in leading cross-functional teams to enhance user engagement, streamline deployments, and optimize engineering workflows. Passionate about AI, automation, and cloud-native solutions (AWS, GCP), with a focus on building innovative, user-centric products and fostering high-performance engineering cultures that thrive on efficiency and excellence.
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.
Remote 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.
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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.