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Vetted Gcp vertex ai developer in India (UTC-7)
I am an accomplished engineering leader with 20+ years in Fintech, Travel, and e-Commerce. I excel in cross-cultural team leadership, rapid product launches, and scaling for hyper-growth. My career spans pivotal roles at ThoughtWorks, Cleartrip, SAP-Ariba, and Simpl. I lead strategic roadmaps and cloud-native solutions at Simpl and Cleartrip, specializing in real-time data processing and machine learning. At Simpl, I reduced processing times to 60 milliseconds, boosting user approval and TPV. At Cleartrip, I enhanced a data platform, increasing conversions by 0.75% and implementing advanced analytics. I optimized AWS costs by 13%, improved search efficiency by 80%, and managed a monitoring system handling millions of documents with 15-millisecond latency. I also streamlined Cleartrip’s release cycles to weekly, implementing agile CI/CD practices with a 15-minute build cycle. I thrive on designing and architecting platforms, solutions, and productivity tools. My journey into distributed systems since 2015 has fueled my curiosity and love for exploring white papers and books on the subject. I enjoy programming, problem-solving, and collaborating with like-minded individuals. Deeply engaged in the tech community, I attend meet-ups to discuss cutting-edge topics in distributed systems and language advancements, while currently focusing on mastering MLOps principles for deploying machine learning models effectively. I have extensive SaaS product experience, contributing to Mingle, an agile project management tool, and Twist, a BDD test automation tool, at ThoughtWorks Studios. At SAP, I developed SAP Logistics Business Network and SAP Business Network Freight Collaboration, leading the engineering team to design scalable features for intercompany logistics collaboration, optimize cloud deployment for global accessibility, and enhance the user interface for managing logistics operations. Beyond work commitments, I find joy in photography, birdwatching, swimming, cycling, yoga, and bodyweight exercises. I am also an enthusiastic trekker, having explored extensive regions of the Western Ghats. Reach out to me to explore consulting opportunities, discuss engineering challenges, or exchange insights on technology and entrepreneurship. I'm open to talking about; - Hiring and Building Product Engineering Teams - Provided mentorship to build high-quality engineering teams for product companies, fostering growth and development within the team. - Product Development - Data Engineering Platform and MLOps capabilities - Strategic Leadership
Vetted Gcp vertex ai developer in India (UTC+6)
Accomplished technology professional with 18+ years of experience specializing in machine learning research, end-to-end data science and AI engagements, business strategy, and building high-performing teams. Experienced in building transformational machine learning initiatives in multiple domains, including ad tech, automotive, manufacturing, telecom, banking, and retail. Proficient in leveraging large language models (LLMs) and Generative AI techniques to develop innovative solutions. Led R&D teams in developing novel, futuristic applications in computer vision, machine learning, and natural language processing.
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 India (UTC+6)
I am a self-taught, creative engineer with expertise in multiple domains including software, electronics, embedded systems, and mechanical engineering. I thrive on cross-domain projects, leveraging my skills and knowledge to solve complex problems from unique angles. I enjoy tinkering with technology, experimenting with DIY projects, and collaborating with others to bring ideas to life. I am ambitious and driven, always seeking to push the boundaries of what is possible through the creative application of engineering principles.
Vetted Gcp vertex ai developer in India (UTC+6)
At the helm of TensorHub Technologies, I lead the charge in shaping the future of AI, specializing in Conversational and Generative AI. With my hands-on involvement, our team is pioneering innovative AI solutions that are not only cutting-edge but also pragmatic, ensuring they drive tangible business results and empower a technical workforce. My strategic approach has been honed through leading corporate training and consulting, where I have fostered a culture of non-status quo thinking and continuous innovation. This ethos has proven instrumental in securing significant revenue growth and achieving customer satisfaction through tailored AI strategies and transformative digital solutions. Emerging Tech & Innovation Leader with 30 years’ experience in an ever-evolving technology landscape with track record of inspiring excellence in creating new services lines & technology adoption in Generative AI, AI & ML, Digital Transformation, Cloud Data Platform, Advanced Analytics, and by creating team culture based on performance and innovation. Extensive corporate training experience covering Data Science, AI / ML and Generative AI. Trained over 2000+ participants in the last 1 year. Futuristic & forward-focused Leader having analytical bent of mind & track record of striving in uncertainty, curiosity & challenges.
Vetted Gcp vertex ai developer in India (UTC+6)
Software Engineer with 8+ years of experience specializing in front-end and full-stack development. Proven ability to build scalable applications, optimize UI performance, and lead feature development for global platforms. Passionate about delivering seamless user experiences using modern web technologies.
Remote Gcp vertex ai developer in India (UTC+6)
I am a Senior Developer with experience in Python, Pytorch, HuggingFace, and AWS technologies. I have developed AI agents, chatbots, fraud detection systems, and document processors.
Vetted Gcp vertex ai developer in India (UTC-7)
Experienced **AI/ML Lead Engineer with 12+ Years** of Innovation and Leadership I bring over a decade of experience in AI and machine learning, specializing in building impactful solutions using Generative AI and Large Language Models (LLMs). Currently, I lead a skilled team of AI engineers and developers, where we tackle complex challenges and create transformative applications. **Key Highlights:** AI-Powered Chatbot Development: Designed and deployed advanced chatbots using **Generative AI** and **LLMs**, including a comprehensive HRMS chatbot that streamlines operations and enhances employee engagement. Client-Focused POCs: Delivered successful proofs of concept (POCs) for notable clients like Dr. Reddy, Bay Alarm, and Main Court, showcasing innovative AI solutions tailored to each client’s needs. Open-Source AI on Cloud: Leveraged open-source models, deploying them on cloud platforms to build scalable, robust Generative AI applications. Technologies and Tools: With hands-on expertise in OCR, RAG pipelines, OpenAI, LLMs, and NLP, I enjoy pushing the boundaries of AI to deliver practical, high-impact solutions that drive business results. I’m passionate about exploring the latest advancements in AI and i am always open to connecting with professionals and companies aiming to transform their operations through intelligent, data-driven solutions.
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.
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
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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.