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Vetted Google Cloud Speech-to-Text developer in India (UTC+6)
I am an AI/ML Architect and Full-Stack Developer with over 10 years of experience in designing and delivering advanced software solutions in Healthcare. As a Forbes 30 Under 30 Asia healthcare honoree and Y Combinator alumnus, I have successfully built HIPAA-compliant level cloud architectures and scaled enterprise applications. I have a strong background in NLP, LLMs, and DevOps, and I am dedicated to leveraging AI to revolutionize healthtech and other industries. * YC Founder * Forbes 30 under 30 Asia * AI/ML Architect and Full-Stack Developer with over 10 years of experience
Remote Google Cloud Speech-to-Text developer in India (UTC-4)
Highly skilled and detail-oriented software developer with 4 years of experience designing, developing, and deploying enterprise-level applications. Proven ability to enhance company profitability through innovative solutions and efficient code. Skilled in Python scripting, API creation and integration, repository maintenance and utilizing Azure cloud services.
Vetted Google Cloud Speech-to-Text 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.
Vetted Google Cloud Speech-to-Text developer in India (UTC+6)
Krishna is a machine learning engineer who is curious and passionate about applied deep learning in computer vision, NLP, and reinforcement learning. He has four years of experience with machine learning, including having been a part of the analytics division of JP Morgan Chase & Co. He is a great communicator and enthusiastic developer.
Vetted Google Cloud Speech-to-Text developer in India (UTC+6)
I'm a senior full stack and DevOps engineer with 5 years of expertise in deploying and maintaining applications in Kubernetes clusters and writing infrastructure such as code (IaC) to automate AWS and Google Cloud environments. Skilled in developing back-end applications using Python, Java, and Node.js. Proficient in creating and managing CI/CD pipelines with tools such as GitHub Actions, Jenkins, and Spinnaker. Over the past year, I have expanded my expertise to front-end development using React, delivering end-to-end solutions for modern applications
Vetted Google Cloud Speech-to-Text developer in India (UTC+6)
10+ years experienced Python developer having deep insights into an area that covers the latest in web technologies as well as cloud/big data. Passionate about learning and exploring new and upcoming trends in technology, along with finding out ways to regularly update the current working environment.
Vetted Google Cloud Speech-to-Text developer in India (UTC+6)
Experienced Engineer with a strong background in software development, interface design, and data streaming solutions. Proficient in building complex event-driven micro service architecture on AWS and working with platforms like Open-Shift, Azure, and Google Cloud. Technology agnostic professional with 15 years of hands-on experience, adept at optimising resource utilisation, maximising systemStaff Engineer efficiency, and enhancing throughput. Skilled in mentoring teams, designing architecture, and implementing monitoring solutions for large-scale systems.
Vetted Google Cloud Speech-to-Text developer in India (UTC+6)
I am an engineer with extensive experience in e-commerce, application engineering, and engineering platforms. I specialize in Java, Node.js, Ruby, and Golang, and I have worked with frameworks like Spring Boot, Ruby on Rails, and Express. My database expertise includes MySQL, PostgreSQL, MongoDB, and Redis. I enjoy mentoring fellow engineers and college graduates, helping them explore the software engineering space and achieve their goals. Currently working at Microsoft, I have previously contributed to Ola, Paytm, and Gojek. I also blog to share my learnings and insights with the developer community. Feel free to reach out for anything related to this, - Software Design/Development/Prototyping/Pair coding. - Web Technologies/API design/Code reviews. - Career development/Consulting/Training/Mentorship/Interviews in technology/DSA/System Design. - Business Idea and its transformation into technology.
Vetted Google Cloud Speech-to-Text developer in India (UTC+6)
Software consultant having worked as Engineering Manager and Lead Software Engineer in Javascript, Python and Elixir with over 12 years of experience demonstrating versatility and team leadership in diverse business domains from startups to big-tech. I run a software consulting and development firm where we take care of the entire product engineering lifecycle for you. With a background in structured, procedural and functional programming, implementing software architecture using principles such as Context Mapping, Domain Driven Design and C4 architecture to enhance system scalability and maintainability for enterprise application development, distributed systems, data processing & analytics, having steered multiple crossfunctional projects with autonomous teams of varying sizes to achieve OKRs, process optimisation and increased operational excellence. Experienced in data analytics, software development, using ETL tools such as fivetran, airflow, integromat. We are software engineers, product leads and consultants who have worked in a range of tech companies ranging from startups to bigtech like Klarna Bank, HCLTech, Google, L&T Infotech, Momox. We understand product development and have managed teams of different sizes with over 10 years of experience in various verticals such as Ecommerce, ERP, Fintech, FashionTech, Health & Wellness.
Remote Google Cloud Speech-to-Text developer in India (UTC-7)
As Lead Data Scientist with over 6 years of experience, I'm at the forefront of AI innovation in travel, retail, finance and e-commerce. My expertise lies in leveraging cutting-edge technologies to solve complex business challenges and drive data-informed decision-making. Key areas of focus: Large Language Models (LLMs): Conducting advanced research and development in both open-source and proprietary LLMs, pushing the boundaries of LLMs via finetuning. Retrieval-Augmented Generation (RAG): Pioneering work in enhancing LLM capabilities through innovative RAG techniques, improving context-awareness and factual accuracy in AI-generated data extraction. AI Agents: Research into autonomous AI agents, exploring their potential for complex searching and task automation across various domains. Advanced AI & Machine Learning: Proficient in developing sophisticated models using Python, Keras, TensorFlow, and other state-of-the-art tools. My track record includes architecting and deploying impactful solutions, from personalized travel recommendation systems, autonomous database population to predictive revenue forecasting models. I excel at translating complex technical concepts into actionable insights, collaborating seamlessly across multidisciplinary teams to optimize workflows and ensure smooth project execution on cloud platforms like Azure and AWS. With a passion for staying at the cutting edge of AI research, I continually explore and implement novel approaches to enhance business operations and user experiences. My goal is to bridge the gap between academic advancements and real-world applications, driving innovation that delivers tangible value to organizations and end-users alike.
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Ready to hire your ideal Google Cloud Speech-to-Text 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 Google Cloud Speech-to-Text 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 Google Cloud Speech-to-Text 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 Speech-to-Text developers can help keep your website up-to-date.
To hire a Google Cloud Speech-to-Text 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 Speech-to-Text developers effectively and efficiently. Hire full-time Google Cloud Speech-to-Text 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 Speech-to-Text 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 Speech-to-Text 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 Speech-to-Text developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Google Cloud Speech-to-Text 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 Speech-to-Text 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 Speech-to-Text developers, consider niche platforms like Arc that naturally attract and carefully vet their Google Cloud Speech-to-Text developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Google Cloud Speech-to-Text developers.
Some factors to consider when you hire Google Cloud Speech-to-Text 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 Speech-to-Text developers for hire.
Writing a good Google Cloud Speech-to-Text developer job description is crucial in helping you hire Google Cloud Speech-to-Text 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 Speech-to-Text 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 Speech-to-Text developers, read our Engineer Job Description Guide & Templates.
The top five technical skills Google Cloud Speech-to-Text 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 Speech-to-Text 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 Speech-to-Text developers to keep up with evolving technology and requirements.
You can find a variety of Google Cloud Speech-to-Text 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 Speech-to-Text developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Google Cloud Speech-to-Text 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 Speech-to-Text 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 Google Cloud Speech-to-Text 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 Speech-to-Text developers.
Every Google Cloud Speech-to-Text 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 Speech-to-Text 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 Google Cloud Speech-to-Text 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 Speech-to-Text 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 Speech-to-Text developers, you can rest assured that all remote Google Cloud Speech-to-Text 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 Google Cloud Speech-to-Text developers before we present them to you. As such, all the remote Google Cloud Speech-to-Text 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 Speech-to-Text developer in 72 hours, or find a full-time Google Cloud Speech-to-Text 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 Speech-to-Text developers.
Depending on the freelance developer job board you use, freelance remote Google Cloud Speech-to-Text developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Google Cloud Speech-to-Text 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 Speech-to-Text 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 Google Cloud Speech-to-Text 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 Speech-to-Text developers, check out our FAQs page.