Software Developer Job USA 16 as AI Engineer, Google Cloud Consulting: Hello Job Seekers, Today we bring you a new Job for AI Engineer, Google Cloud Consulting Job 16 USA Location. Google Careers is hiring for AI Engineer, Google Cloud Consulting at Multiple location USA. Please find the summary and AI Engineer, Google Cloud Consulting Job USA description below:
Highlight of Software Engineer Job USA 16:
Organization: Google
Job Type: Software Developer
Job Position: AI Engineer, Google Cloud Consulting
Job Location: Multiple
Job Description for AI Engineer, Google Cloud Consulting:
Minimum qualifications:
- Bachelor’s degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
- 5 years of experience in Artificial Intelligence or Machine Learning.
- Experience in building Machine Learning (ML) solutions.
- Experience coding in one or more languages (e.g., Python, Scala, Java, Go, or similar) and in data structures, algorithms, and software design.
Preferred qualifications:
- Experience working with recommendation engines, data pipelines, or distributed machine learning.
- Experience with learning frameworks (e.g., l, Torch, Caffe, Theano).
- Experience in technical consulting.
- Knowledge of data warehousing concepts, data warehouse technical architectures, infrastructure components, Extract Transform Load (ETL), reporting or analytic tools, and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume).
- Understanding of the auxiliary practical concerns in production machine learning systems.
Job Responsibilities for AI Engineer, Google Cloud Consulting at Google:
- Be a trusted technical advisor to customers and solve Machine Learning challenges.
- Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of business and technical stakeholders.
- Work with customers, partners, and Google Product teams to deliver tailored solutions into production.
- Mentor customers on the practical challenges in Machine Learning systems, including feature extraction, feature definition, data validation, monitoring, and management of features or models.
How to apply for AI Engineer, Google Cloud Consulting USA Jobs:
Apply Link: Click Here to apply for AI Engineer, Google Cloud Consulting USA Job at Google