Cloud AI Engineer, Global Services Delivery (Multiple Language)

Google

Warszawa

Type of work

Full-time

Experience

Mid

Employment Type

Permanent

Operating mode

Office

Google

Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. These Googlers build products that help create opportunities for everyone, whether down the street or across the globe.It starts with how we work together. We’re building a company where people of different views, backgrounds and experiences can do their best work and show up for one another.

Company profile

Tech stack

Python

advanced

Scala

advanced

R

advanced

Apache Beam

regular

Hadoop

regular

Spark

regular

Hive

regular

MapReduce

regular

Flume

regular

ETL

regular

Job description

Minimum qualifications:

Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
Experience in building ML solutions, including software development in Python, Scala, or R, and in data structures, algorithms, and software design.
Ability to travel up to 30% of the time as needed.
Ability to communicate in English and any additional European language to support client relationship management in this region.

Preferred qualifications:

Experience in working with recommendation engines, data pipelines or distributed machine learning, and with data analytics, data visualization techniques and software, and deep learning frameworks.
Experience in software development, professional services, solution engineering and technical consulting with architecting and deploying technology and solution initiatives.
Experience with Data Science techniques.
Knowledge of data warehousing concepts with data warehouse technical architectures, infrastructure components, ETL/ELT and reporting tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume).
Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.
Excellent communication skills.

About the job

The Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate.

In this role, you will be ensuring that customers have the best experience moving to the Google Cloud machine learning (ML) suite of products. You will design and implement machine learning solutions for customer use cases, leveraging core Google products. You will work with customers to identify opportunities to transform their business with machine learning, and will travel to customer sites to deploy solutions and deliver workshops designed to educate and empower customers to realize the full potential of Google Cloud. You will have access to Google’s technology to monitor application performance, debug and troubleshoot product code, and address customer and partner needs. You will lead the execution of adopting the Google Cloud Platform solutions to the customer.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

Deliver big data and machine learning solutions and solve technical customer tests.
Serve as a trusted technical advisor to Google’s customers.
Identify new product features and feature gaps, provide guidance on existing product tests, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform.
Deliver best practices recommendations, tutorials, blog articles, and technical presentations adapting to different levels of business and technical stakeholders.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Undisclosed Salary

Permanent