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Roman V., Senior Data Scientist

Ukraine
Last Updated: 6 Oct 2023

- Software engineer with 6 years of experience in data science and computer vision. - Proficient in Python, C++, and various data science libraries such as NumPy, Pandas, and scikit-learn. - Experienced in developing real-time computer vision algorithms for iOS and Android devices. - Skilled in dataset gathering, neural network training, and model optimization using Inference Triton Server. - Developed and integrated a face reenactment algorithm for photo editing. - Familiar with DevOps and MLOps tools such as AWS, Docker, and Google Cloud. - Holds a Master's degree in Data Science and a Bachelor's degree in Computer Science from Ukrainian Catholic University.

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Google Cloud AI

Google Cloud AI

Python

Python   6 yr.

OpenCV

OpenCV   6 yr.

Pandas

Pandas   6 yr.

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Noel G., DevOps Engineer

Spain
Last Updated: 6 Aug 2023

- Experienced Software Engineer with deep DevOps expertise and demonstrated history in solving complex technical issues. AWS-certified solutions architect with strong OOP fundamentals knowledge and proven expertise in DevOps tools. - Experience leading the team, creating architecture, work with security and integrations. Perfect team player who is known for his excellent communication skills, good at working in a multicultural environment. - Advanced English.

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Google Cloud AI

Google Cloud AI

Amazon Web Services (AWS)

Amazon Web Services (AWS)

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Nick G., Senior DevOps Engineer

Spain
Last Updated: 9 Aug 2023

- Experienced Software Engineer with deep DevOps expertise and demonstrated history in solving complex technical issues. - AWS-certified solutions architect with strong OOP fundamentals knowledge and proven expertise in DevOps tools. - Experience leading the team, creating architecture, work with security and integrations. - Perfect team player who is known for his excellent communication skills, good at working in a multicultural environment. - Advanced English.

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Google Cloud AI

Google Cloud AI

Amazon Web Services (AWS)

Amazon Web Services (AWS)

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Fabricio Oliveira, Senior Golang Engineer

Brazil
Last Updated: 18 Jul 2023

- Back-End Engineer with over 12 years of experience, having 6 years of experience with Golang development. - Experienced in working with Golang in cloud-native environments, microservices architecture, and integrating with various tools and technologies such as Docker, AWS, and Kafka. - Expertise spans multiple tools and technologies, including Elasticsearch, Golang, Kafka, JavaScript, Python, PostgreSQL, AWS, Docker, GCP, and microservices. - Commercial experience with web applications handling more than 300krpm - Upper-Intermediate English - Native Portuguese

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Google Cloud AI

Google Cloud AI

Go

Go   6 yr.

Amazon Web Services (AWS)

Amazon Web Services (AWS)

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Oleksandr D., .NET Software Engineer / Architect

Poland
Last Updated: 15 Jan 2024

- .NET Software Engineer with 16 years of experience developing innovative products and leading teams and companies in the IT sector. - Has 6+ years of experience working with payment systems integrating MasterCard, Visa, Payoneer, and PayPal into the user's programs. - Expertise in system architecture, analytics, optimization, DevOps - Proficient in C# and .NET framework, with extensive experience in ASP.NET Core, Blazor, and Electron.NET. - Strong background in implementing DevOps practices, including continuous integration and continuous deployment (CI/CD), version control using Git, and automation with tools like Jenkins and Azure DevOps. - Led and managed teams in various roles such as Team Lead, Architect, and DevOps. Demonstrated leadership skills in defining goals, assigning tasks, and ensuring project success.

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Google Cloud AI

Google Cloud AI

.NET

.NET

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Maria Lapko
Global Partnership Manager

Only 3 Steps to Hire Google Cloud AI Engineers

1
Talk to Our Talent Expert
Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
2
Meet Carefully Matched Talents
Within 1-3 days, we’ll share profiles and connect you with the right talents for your project. Schedule a call to meet engineers in person.
3
Validate Your Choice
Bring new talent on board with a trial period to confirm you hire the right one. There are no termination fees or hidden costs.

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Henry Akwerigbe
Henry Akwerigbe
This is a super team to work with. Through Upstaff, I have had multiple projects to work on. Work culture has been awesome, teammates have been super nice and collaborative, with a very professional management. There's always a project for you if you're into tech such Front-end, Back-end, Mobile Development, Fullstack, Data Analytics, QA, Machine Learning / AI, Web3, Gaming and lots more. It gets even better because many projects even allow full remote from anywhere! Nice job to the Upstaff Team 🙌🏽.
Vitalii Stalynskyi
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I have been working with Upstaff for over a year on a project related to landscape design and management of contractors in land design projects. During the project, we have done a lot of work on migrating the project to a multitenant architecture and are currently working on new features from the backlog. When we started this project, the hiring processes were organized well. Everything went smoothly, and we were able to start working quickly. Payments always come on time, and there is always support from managers. All issues are resolved quickly. Overall, I am very happy with my experience working with Upstaff, and I recommend them to anyone looking for a new project. They are a reliable company that provides great projects and conditions. I highly recommend them to anyone looking for a partner for their next project.
Владислав «Sheepbar» Баранов
Владислав «Sheepbar» Баранов
We've been with Upstaff for over 2 years, finding great long-term PHP and Android projects for our available developers. The support is constant, and payments are always on time. Upstaff's efficient processes have made our experience satisfying and their reliable assistance has been invaluable.
Roman Masniuk
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I worked with Upstaff engineers for over 2 years, and my experience with them was great. We deployed several individual contributors to clients' implementations and put up two teams of upstaff engineers. Managers' understanding of tech and engineering is head and shoulders above other agencies. They have a solid selection of engineers, each time presented strong candidates. They were able to address our needs and resolve things very fast. Managers and devs were responsive and proactive. Great experience!
Yanina Antipova
Yanina Antipova
Хочу виразити велику подяку за таку швидку роботу по підбору двох розробників. Та ще й у такий короткий термін-2 дні. Це мене здивувало, адже ми шукали вже цілий місяць. І знайдені кандидати нам не підходили Це щось неймовірне. Доречі, ці кандидати працюють у нас і зараз. Та надать приклад іншим працівникам. Гарного дня!)
Наталья Кравцова
Наталья Кравцова
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Volodymyr
Volodymyr
Leaving a review to express how delighted I am to have found such a great side gig here. The project is intriguing, and I'm really enjoying the team dynamics. I'm also quite satisfied with the compensation aspect. It's crucial to feel valued for the work you put in. Overall, I'm grateful for the opportunity to contribute to this project and share my expertise. I'm thrilled to give a shoutout and recommendation to anyone seeking an engaging and rewarding work opportunity.

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FAQs about Google Cloud AI Development

How do I hire a Google Cloud AI developer? Arrow

Are you desperately looking for a Google Cloud AI developer validated to your requirements and skills? Are you lacking in resources and tools to find the right developer? If yes, then you are at the right place! Because at Upstaff, the selection of the Google Cloud AI Developer is done professionally as per your requirement, in a short time of just a few days, from calling to the instant task of your validated developer, with all your required skills.

Where is the best place to find Google Cloud AI developers? Arrow

Sure enough, within the network there must be dozens, if not hundreds, of services and platforms where you can look for the Google Cloud AI guy you need, but just Upstaff lets you sort out the best of the best real qualified developers practically in a couple of minutes, so that you will be able to select the one whose personality will be a perfect fit to your company. This is the case when you can create a genuinely “Pizza” type of service in the field of custom software development.

How are Upstaff Google Cloud AI developers different? Arrow

Vetting by expert human reviewers is combined with historically curated feedback from clients and team-mates, which has enabled us to save, on average, more than 50 hours for each client team evaluating Google Cloud AI candidates for every position. We live and breathe technical excellence, borne out of extensive industry expertise.

How quickly can I hire Google Cloud AI developers through Upstaff? Arrow

Our process begins with a 30-minute discovery call: we’ll discuss your pain points, technical requirements, and team diversity. Meet Carefully Matched Google Cloud AI Talents. Upon your meeting confirmation, we’ll send you profiles and arrange an introduction call with the right talents for your project, within 1-3 days. Schedule a call to meet Google Cloud AI engineers in person. Make the right call. Bring a new Google Cloud AI developer on board with a trial period: confirm that the person you hired does the job right, no termination fees and no hidden fees.

How does Upstaff vet remote Google Cloud AI engineers? Arrow

After this introductory round, Upstaff Managers do an eval of the soft skills of the candidates before the hiring decision is approved or rejected. For the hard skills, the Upstaff Staffing Platform has a short testing session to check their Google Cloud AI skills or engage a senior developer to do a technical interview for more senior developers. You can reuse some of the hard and soft skills of past candidates to connect them with other jobs in the future (see below). Upstaff managers also do an eval of the talent before approving them for further work, allowing us to accelerate the work and ability to scale, but also providing information to clients on the talent pipeline. Finally, we also have a matching engine within the work mining system that matches candidates and jobs in real time.

How to hire Google Cloud AI developer? Arrow

If recruiting services and job boards are not your 1st option, you may want to consider a client-oriented service like Upstaff to find & hire Google Cloud AI developers. Upstaff has a network of vetted and tested Google Cloud AI developers. Here, you can hire web developers for a few simple coding tasks with Google Cloud AI.

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Table of Contents

How and where is Google Cloud AI used?

  • Speech Recognition: Transcribing audio files
  • Natural Language Processing: Sentiment analysis
  • Image Recognition: Identifying objects in images
  • Recommendation Systems: Personalized product recommendations
  • Forecasting: Predicting future trends
  • Virtual Assistants: Building chatbots for customer service
  • Healthcare: Diagnosing medical conditions
  • Fraud Detection: Identifying fraudulent activities
  • Video Analysis: Analyzing video content
  • Automated Translation: Translating text in real-time

Compare Junior, Middle, Senior, and Expert/Team Lead Google Cloud AI Developer roles

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior0-2 yearsJunior:

  • Assist in developing basic AI models
  • Implement pre-designed algorithms
  • Testing and debugging code
  • Participate in team meetings
$70,000
Middle3-5 yearsMiddle:

  • Develop AI models independently
  • Optimize algorithms for performance
  • Collaborate with other teams
  • Lead small projects
$90,000
Senior6-8 yearsSenior:

  • Architect AI solutions
  • Provide technical guidance
  • Lead large projects
  • Mentor junior developers
$120,000
Expert/Team Lead9+ yearsExpert/Team Lead:

  • Define AI strategy
  • Manage AI development teams
  • Ensure project delivery
  • Collaborate with executives
$150,000

Quick Facts about Google Cloud AI.

  • In a galaxy not so far away, Google Cloud AI Software Development was created in 2018.
  • Most popular project types that summon this technological wizardry are machine learning and data analysis.
  • The entry threshold to wield this power is surprisingly low, making it accessible to tech jedis of all levels.
  • Its best buddy in the tech universe is TensorFlow, which helps it conquer new frontiers.
  • Unlocking the secrets of the universe: Google Cloud AI can identify dog breeds better than most humans!

TOP Google Cloud AI Related Technologies

  1. TensorFlow
    (Google, 2015)
  2. PyTorch
    (Facebook, 2016)
  3. Keras
    (Francois Chollet, 2015)
  4. Scikit-learn
    (David Cournapeau, 2007)
  5. Apache Spark
    (Apache Software Foundation, 2014)

What are top Google Cloud AI instruments and tools?

  • Dialogflow: Make chatbots with AI
  • Cloud AutoML: Custom ML models
  • Cloud Vision API: Image analysis
  • Cloud Speech-to-Text: Spoken word to text
  • Cloud Natural Language API: Text analysis

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Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
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Maria Lapko
Global Partnership Manager