Google Cloud MLEngine, now known as AI Platform, is a managed service that enables developers and data scientists to build, train, and deploy machine learning models at scale. It supports various frameworks like TensorFlow and offers tools for model training, hyperparameter tuning, and serving predictions in production environments.

About Google Cloud MLEngine
Google Cloud MLEngine, originally launched in 2017 by Google, was developed to provide a scalable and managed environment for machine learning model development and deployment. It aimed to simplify the process of building, training, and serving machine learning models by leveraging Google's infrastructure and machine learning expertise. Over time, it evolved into what is now known as AI Platform, expanding its capabilities to support a broader range of machine learning tasks and frameworks.
Strengths of Google Cloud MLEngineGoogle Cloud MLEngine included its scalability, integration with other Google Cloud services, and support for popular frameworks like TensorFlow. Weaknesses involved complexity for beginners and potential cost concerns for extensive usage. Competitors included AWS SageMaker and Microsoft Azure Machine Learning, both offering similar machine learning services with their own unique features.
Hire Google Cloud MLEngine Experts
Work with Howdy to gain access to the top 1% of LatAM Talent.
Share your Needs
Talk requirements with a Howdy Expert.
Choose Talent
We'll provide a list of the best candidates.
Recruit Risk Free
No hidden fees, no upfront costs, start working within 24 hrs.
How to hire a Google Cloud MLEngine expert
A Google Cloud MLEngine expert must possess skills in machine learning model development and deployment, proficiency in TensorFlow or similar frameworks, and experience with Python programming. They should also be adept at using Google Cloud Platform services, such as Cloud Storage and BigQuery, for data management. Knowledge of containerization with Docker and familiarity with Kubernetes for orchestration is beneficial for managing scalable deployments.

Lucas F.
Skills
A seasoned software engineer with eight years of programming experience, currently dedicated to addressing real-world technological challenges through innovative solutions. Professional journey includes founding a software development company, driven by a passion for problem-solving. Additionally, engaged in game development, utilizing advanced platforms such as Unreal Engine 5 and Unity.

Jhordy A.
Skills
Software Engineer specializing in backend development demonstrates extensive expertise in technology and innovation. The role involves developing, researching, and implementing new features within the technological domain. Demonstrates strong knowledge in design patterns, code quality assurance, and collaboration with product teams to ensure projects surpass end-user expectations.
Proficiency spans across technologies such as NodeJS, TypeScript, PostgreSQL, and messaging systems like BullMQ, with substantial experience in blockchain integrations. Contributions include maintaining Continuous Integration/Continuous Deployment (CI/CD) practices using GitHub Actions and facilitating deployments through Kubernetes and Docker. Additional experience encompasses event-driven architecture and working with a suite of AWS services such as Lambda, SNS, SQS, EventBridge, and DynamoDB.
Committed to continuous skill enhancement and pursuing new opportunities in the technology landscape.

Guilherme F.
Skills
System Analyst with a degree from Dom Bosco University and approximately four years of experience as a Web Developer, including over three years focused on Angular as well as some exposure to React. Experienced in serving clients within key segments of the Brazilian market, such as banking, telecommunications, and fintechs. Responsibilities have encompassed continuous improvement initiatives, maintaining legacy code, and developing new products tailored to customer needs. Daily tasks include team collaboration to determine optimal solutions, building reusable components, system design, occasional interface development, and writing unit tests using Jasmine and Karma. Proficient in technologies such as HTML, CSS, SCSS, JavaScript, TypeScript, and GIT, with experience in frameworks like Bootstrap, Angular Material, PrimeNG, and Ant Design, as well as in creating REST APIs using NodeJS with Express and MongoDB. Possesses a C1 level proficiency in English with robust oral and written communication skills.

Lucas H.
Skills
A graduate in Internet Systems from IFET Minas, currently employed as a programmer with a focus on developing solutions to assist and automate processes across various departmental functions within the food industry. Experienced in PHP, MySQL, JavaScript, and Object-Oriented programming. Possesses a demonstrated ability to quickly adapt to new challenges and technologies. In the second year of an English language course, committed to ongoing personal and professional development.

Matheus M.
Skills
A Software Developer with over two years of experience, specializing in back-end development, particularly in the areas of payment processing applications, including authorizers, sub-acquiring, and recurring payment systems. Demonstrates proficiency in Java, Spring Boot, Kotlin, Lombok, and microservices architecture. Presently, emphasis is being placed on advancing skills in Docker and AWS.

Wesley S.
Skills
A full-stack developer specializing in web development, with extensive expertise in Object-Oriented Programming (OOP), PHP, and JavaScript. Demonstrates a keen interest in application scalability, best development practices, and Test-Driven Development (TDD).

Luís G.
Skills
Full-stack developer with over five years of experience, demonstrating a proven aptitude for rapid learning. Skilled in developing both static and real-time applications capable of managing traffic volumes of up to 2,500 requests per minute. Possesses substantial expertise in Python, AWS, JavaScript, and Flutter.

Lucas S.
Skills
Possesses extensive expertise in Python and the broader Data/Big Data ecosystem. Demonstrated proficiency in Python development with a strong focus on maintaining high code quality. Knowledgeable in various technologies, including ElasticSearch, Scala, Spark, SQL, AWS services (Athena, S3, SQS, Lambda), Jenkins, Web Scraping (Crawler), C, and C++. Exhibits dynamism, excellent communication abilities, and a high level of dedication. Open to engaging in discussions where mutual interest exists.
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.
USA
$ 224K
Employer Cost
$ 127K
Employer Cost
$ 97K
Benefits + Taxes + Fees
Salary
The Best of the Best Optimized for Your Budget
Thanks to our Cost Calculator, you can estimate how much you're saving when hiring top LatAm talent with no middlemen or hidden fees.