Cloud Engineer, AI/ML, Professional Services, Google ...

corporate_fare Google place Chicago, IL, USA; Austin, TX, USA; +2 moreCheck out the role overview below If you are confident you have got the right skills and experience, apply today.ApplyAbout the jobThe Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google's global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.As a Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products.In this role, you are the Google Engineer working with Google's largest and most ambitious Cloud customers. Together with the team you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more.The US base salary range for this full-time position is $142,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Minimum Qualifications:Bachelor's degree in Computer Science or equivalent practical experience.5 years of experience building machine learning solutions and working with technical customers.Experience designing cloud enterprise solutions and supporting customer projects to completion.Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design.Preferred Qualifications:Experience working with recommendation engines, data pipelines, or distributed machine learning.Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, XGBoost).Knowledge of data warehousing concepts including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume).A solid understanding of the auxiliary practical concerns in production machine learning systems.Responsibilities:Be a trusted technical advisor to customers and solve complex machine learning challenges.Coach customers on the practical challenges in machine learning systems: feature extraction and feature definition, data validation, monitoring, and management of features and models.Work with Customers, Partners, and Google Product teams to deliver tailored solutions into production.Create and deliver best practice recommendations, tutorials, blog articles, and sample code.Travel up to 30% for in-region for meetings, technical reviews, and onsite delivery activities.Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.#J-18808-Ljbffr

Created: 2024-11-05