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1,128 Remote BigQuery ML developers and experts available to hire:

Remote BigQuery ML coder - Damian T.
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Damian T.

Vetted BigQuery ML developer in Argentina (UTC-3)

I am an experienced Senior Team Lead and Senior Software Engineer with expertise in iOS development for technology and agriculture companies. I have led teams and developed cutting-edge apps.

Remote BigQuery ML engineer - Carlos O.
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Carlos O.

Vetted BigQuery ML developer in Colombia (UTC-5)

Mechanical engineer with a strong academic background, holding a Bachelor's degree from Universidad de los Andes and a Master of Science in Computational Mechanics from the Technical University of Munich (TUM). Over 4 years of academical experience and 5 years of professional experience, also have seamlessly transitioned into the field of data science and machine learning, where have excelled in solving complex business problems and deploying innovative solutions in production environments. Expertise lies in leveraging cutting-edge libraries like TensorFlow, Pytorch, and Scikit-Learn to develop cognitive services. With a versatile skill set, brings to the table a wealth of experience in time series modelling, programming proficiency in Python, C++, Java, and Matlab, and a solid foundation in High-Performance Computing (HPC).

Remote BigQuery ML developer - Subhadip M.
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Subhadip M.

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/)**

Remote BigQuery ML expert - Julian A.
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Julian A.

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)

Remote BigQuery ML consultant - Saúl M.
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Saúl M.

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.

Remote BigQuery ML consultant - Hariprasad K.
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Hariprasad K.

Vetted BigQuery ML developer in Germany (UTC+6)

Result-oriented and innovative backend and data engineering with over 10 years of experience.

Remote BigQuery ML engineer - Andres G.
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Andres G.

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.

Remote BigQuery ML architect - Amit Y.
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Amit Y.

Vetted BigQuery ML 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

Remote BigQuery ML architect - Aiden E.
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Aiden E.

Vetted BigQuery ML developer in Germany (UTC+2)

Looking for new adventures and challenges! A seasoned Senior Data Scientist and Machine Learning Engineer, with 5+ years of expertise in advanced text and statistical analytics, ML, statistical modeling, and NLP applications. Skilled in extracting insights from complex datasets to drive data-driven decision-making. Proficient in programming languages like Python, SQL, and Java and tools like GCP, and AWS. Exceptional problem-solver, adept at teamwork, and effective communication skills. Seeking a role as a Machine Learning Engineer, Data Scientist, Data Engineer, or Data Analyst. - \- Open to Relocate (in Germany) \## Skills Summary \# Technical Proficiency \- Programming Languages and Frameworks: Advanced proficiency in Python, Flask, and Java for full-stack Machine Learning development. \- AI/ML Technologies: Hands-on experience applying classification, regression, clustering, deep learning, image processing, and NLP techniques to solve real-world problems. \- Libraries: Expertise in NumPy, Pandas, PySpark, TensorFlow, Keras, PyTorch, sci-kit-learn, OpenCV, SciPy, SpaCy, Matplotlib, Seaborn, and Plotly for data exploration, modeling, and visualizations. \- Cloud Technologies: Extensive experience architecting and deploying end-to-end data science solutions on AWS (SageMaker, EC2, Lambda, S3) and GCP (Vertex AI, Compute&App Engine) platforms. \- Databases: In-depth working knowledge of SQL, MySQL, PostgreSQL, BigQuery, MongoDB, and Spark for efficient data storage, manipulation, and querying large datasets. \- Data Science and Misc. Technologies: Hands-on with generative AI, large language models, mathematics, time series analysis, recommendation engines, NLP applications, and Jupyter Notebook. \- Deployment/MLOps: Expertise using MLFlow, Airflow, FlaskAPI, TensorBoard, CI/CD, and Agile methodologies for robust model operationalization. \# Soft Skills \- Communication: Strong presentation skills to report influential findings to technical and non-technical stakeholders. \- Problem-Solving: Critical thinking and analytics to address challenging problems methodically. \- Collaboration: Proven team player with the ability to build consensus and achieve group objectives. \- Business Acumen: Track record of strategic business recommendations by translating complex analytics into actionable insights. Continuous Learning and Adaptability \- Innovation Mindset: Passion for self-improvement and hands-on experience with emerging technologies. \# Ethics & Compliance \- Data Privacy: Knowledge of data privacy, ownership, and ethical use as per regulatory standards like GDPR, and CCPA. \- Compliance: Understanding of legal frameworks to ensure projects meet quality and security compliances.

Remote BigQuery ML architect - Alik D.
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Alik D.

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.

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Why clients hire BigQuery ML developers with Arc

Without Arc by my side, I would be wasting a lot of time looking for and vetting talent. I'm not having to start a new talent search from scratch. Instead, I’m able to leverage the talent pool that Arc has created.
Mitchum Owen
Mitchum Owen
President of Milo Digital
The process of filling our position took less than a week and they found us a superstar. They've had the flexibility to meet our specific needs every step of the way and their customer service has been top-notch since day one.
Matt Gysel
Matt Gysel
Finance & Strategy at BaseVenture
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.
Philip Tsai
Philip Tsai
Director of Engineering at Chegg

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FAQs

Why hire a BigQuery ML developer?

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.

How do I hire BigQuery ML developers?

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.

Where do I hire the best remote BigQuery ML developers?

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.

How do I write a BigQuery ML developer job description?

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.

What skills should I look for in a BigQuery ML developer?

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.

What kinds of BigQuery ML developers are available for hire through Arc?

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.

Why is Arc the best choice for hiring BigQuery ML developers?

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.

How does Arc vet a BigQuery ML developer's skills?

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.

How long does it take to find BigQuery ML developers on Arc?

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.

How much does a freelance BigQuery ML developer charge per hour?

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.

How much does it cost to hire a full time BigQuery ML developer?

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.

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