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Vetted BigQuery ML developer in the United States (UTC-4)
Visionary software engineering leader and architect with over 15 years of experience driving technological innovation, leading high-performing teams, and architecting scalable AI-driven platforms. Proven track record of successfully integrating cutting-edge AI technologies, such as OpenAI APIs, DALLE, and GPT-4, to create transformative SaaS solutions. Skilled in strategic planning, team building, and delivering complex software projects that leverage machine learning and natural language processing. Passionate about fostering a culture of continuous improvement and innovation, with a strong focus on harnessing the power of AI to revolutionize industries. Seeking a challenging role as a CTO or VP of Engineering to lead the development of groundbreaking AI products and guide organizations to the forefront of technological advancement. **Key Achievements** * Built an AI-driven SaaS application that generates creative ad copy and images using OpenAI's API, GPT-4, DALL-E 3, and a proprietary algorithm, taking the project from concept to launch. * Scaled a health-tech SaaS platform 100 times, from 4K to 400K+ users within one year, by leading a 12+ person cross-departmental team and leveraging AI-powered personalization and automation. * Reduced infrastructure costs by 30% and improved stability by architecting a microservices based platform on Google Cloud Platform (GCP), incorporating AI-driven optimization techniques.
Vetted BigQuery ML developer in the United States (UTC-5)
**Data Scientist|Software Developer|5 years experience|NLP|AWS|GCP|Kubernetes GPU** • Working on end-to-end Machine Learning life cycle, data pipelines and distributed computing platform. Developed ML platform for model training and deployment in production. Currently processing around 10 million inference requests per day. Developed an open source python package library(onepiecepredictor) and NLP AI-based chatbot using Tensorflow, Sci-Kit Learn, google dialogflow PHP, python flask, neo4j for knowledge graph. Productionised a chit-chat bot using deep learning sequence to sequence model with LSTMS, attention using TensorFlow GPU. Helped clients make strategic marketing channel investments by building interactive and automated KPI reports with data from various sources using MySQL. Developed big data pipeline to transfer large volumes of Ad auction requests in S3 to Amazon Redshift cluster using spark. Has a solid software development and data analysis experience of 3 years using Microsoft .NET Web API, C#, Microsoft SQL Server, REDIS, SignalR and RabbitMQ and JavaScript. * **Skills: C++, C#, Python, data structures and algorithms, R, MATLAB, HTML, JavaScript, React JS, SQL, NoSQL, Hadoop, Apache Spark, Neo4j, Machine Learning Algorithms, deep learning, statistics, data modelling, predictive modelling, Object-oriented design patterns, Unit testing**
Vetted BigQuery ML developer in Canada (UTC-4)
Specialist in GCP services. Experience in Data Engineering since 2010. Applied Data/machine learning engineer using python for the last few years. Understanding data and applying the ML algorithm to solve use cases include data preparation. Also expertise in making pipeline for data related projects. See more: **[https://subhadip.ca](https://subhadip.ca/)**
Vetted BigQuery ML developer in Mexico (UTC-6)
An experienced scientist and engineer with exhaustive knowledge about data transformation, machine learning modeling, data architecture and cloud engineering. I've been involved in different fields such as ML research, start ups, IT consulting for ML and Data Architecture projects. I have an holistic vision of the data products and sources depending on the business requirements and expected added value. Cloud Data Architect working in Data Governance and ML/Gen AI architectures. As part of the external workforce team in the Google Cloud Professional Services Org, we implement and design scalable architectures for Gen AI and LLM solutions. We also provide Data consulting for small and midsize enterprise.
Vetted BigQuery ML developer in Georgia (UTC+4)
Experienced Data Engineer with 5+ years in Big Data and cloud solutions, proficient in Python and Scala. Skilled in designing and managing complex databases, including MongoDB, PostgreSQL, Oracle, and ClickHouse. Expertise in Big Data technologies like Hadoop and Kafka, and cloud platforms across AWS and GCP, optimizing large-scale data systems. Successfully led critical migrations, optimizations, and the development of data warehouses and data lakes, with impactful contributions to projects for major companies like Apple. Experienced in leveraging DevOps tools and integrating APIs using AsyncIO to enhance system efficiencies.
Vetted BigQuery ML developer in Mexico (UTC-6)
I have been working as a Java developer for the last 7 years, I have experience with Java 8 and 12, functional programming, Spring boot, API Rest, Linux commands, SQL relation, and non-relation DB such as Mongo DB, basic knowledge to work with Angular and React. I participated on the developer team to migrate SOAP requests with Java legacy code to REST using Spring boot, I wrote microservices and split them from a monolith application. I have experience with SQL relation and non-relation DB such as Mongo DB. **I like to work as a team member, and I have 6 months of leadership experience working with 2 developers on my team and working with businesses to understand the requirements need it.**
Vetted BigQuery ML developer in Serbia (UTC+2)
Highly experienced Data Scientist with a proven success in building and implementing machine learning algorithms and predictive models in the various industries. Highly skilled in R, Python, SQL, Spark, Dask, SAS, Power BI, Git, Docker, GCP and Azure ML.
Vetted BigQuery ML developer in Colombia (UTC-5)
Mathematician , Data Science Specialist and Deep Learning Specialist with wide experience leading projects where Data is the core of the final product and managing Dev/DataScience/Analytics teams. Programming languages: Python, R, C++. SQL and no relational Databases Implemented projects in Tensorflow, IBM Watson, PyTorch. Experience programming: Clustering Models, Text mining, NLP, ML, NN, CNN, SVM, Predictive Models, Supervised and unsupervised Learning, Classification,Statistics,Random Forest, BIG DATA(Analysis, Insights, Visualization). Experience applying new technologies to business processes, Sales, Experience,Marketing, Operations, HT, Training, IT & Finances. English and Portuguese fluent (C1)
Vetted BigQuery ML developer in Brazil (UTC-3)
Seasoned professional with over 5 years of experience delivering cloud-based data solutions. Currently serving as a Senior Data Engineer and System Integration Lead, I excel in orchestrating complex data migrations and designing efficient data models and pipelines to drive business success. Proven track record of working remotely with international teams, leveraging asynchronous communication to effectively collaborate and manage projects across time zones. Skilled in communication, planning, documentation, and liaising between stakeholders to ensure seamless project execution.
Vetted BigQuery ML developer in Guatemala (UTC-6)
**Hi, I'm Andres Gonzalez**, and I'm a passionate front-end developer specializing in React. I'm also a skilled back-end developer with expertise in Python (Django, FastAPI, and Flask). With 4 years of professional experience in web development, data visualization, and analysis, I have also gained experience in leading projects and operations management. In addition, worked as a data engineer managing end to end daba bases, creating the data estructure that will improve performance of our organization.
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Get startedArc offers pre-vetted remote developers skilled in every programming language, framework, and technology. Look through our popular remote developer specializations below.
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 BigQuery ML 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 BigQuery ML developers can help keep your website up-to-date.
To hire a BigQuery ML 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 BigQuery ML developers effectively and efficiently. Hire full-time BigQuery ML 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 BigQuery ML 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 BigQuery ML 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 BigQuery ML developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire BigQuery ML 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 BigQuery ML 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 BigQuery ML developers, consider niche platforms like Arc that naturally attract and carefully vet their BigQuery ML developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote BigQuery ML developers.
Some factors to consider when you hire BigQuery ML 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 BigQuery ML developers for hire.
Writing a good BigQuery ML developer job description is crucial in helping you hire BigQuery ML 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 BigQuery ML 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 BigQuery ML developers, read our Engineer Job Description Guide & Templates.
The top five technical skills BigQuery ML 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 BigQuery ML 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 BigQuery ML developers to keep up with evolving technology and requirements.
You can find a variety of BigQuery ML developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance BigQuery ML developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote BigQuery ML 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 BigQuery ML 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 BigQuery ML developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire BigQuery ML developers.
Every BigQuery ML 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 BigQuery ML 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 BigQuery ML 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 BigQuery ML 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 BigQuery ML developers, you can rest assured that all remote BigQuery ML 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 BigQuery ML developers before we present them to you. As such, all the remote BigQuery ML 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 BigQuery ML developer in 72 hours, or find a full-time BigQuery ML 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 BigQuery ML developers.
Depending on the freelance developer job board you use, freelance remote BigQuery ML developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find BigQuery ML 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 BigQuery ML 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 BigQuery ML 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 BigQuery ML developers, check out our FAQs page.