AI Developer, Professional Services Organization, Google Cloud Consulting: Google

The Google Cloud Consulting Professional Services team guides customers in their cloud journey, helping them transform and evolve their business using Google's infrastructure. As a Cloud AI Developer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products like TensorFlow, DataFlow, and Vertex AI. The role involves working closely with Google's largest Cloud customers, product management, and development teams to drive excellence in Google's products.

Responsibilities:

Act as a trusted technical advisor to customers and solve complex machine learning challenges.

Coach customers on practical issues in ML systems, such as feature extraction, data validation, and model management.

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% of the time for meetings, technical reviews, and onsite delivery.

Requirements:

Minimum Qualifications:

Bachelor's degree in Computer Science or equivalent practical experience.

6 years of experience building machine learning solutions and working with technical customers.

Experience coding in one or more general-purpose languages (e.g., Python, Java, Go, C/C++) including data structures, algorithms, and software design.

Experience designing cloud enterprise solutions and supporting customer projects to completion.

Preferred Qualifications:

Experience with recommendation engines, data pipelines, or distributed machine learning.

Experience with deep learning frameworks (e.g., Tensorflow, PyTorch, XGBoost).

Knowledge of data warehousing concepts and tools (e.g., Apache Beam, Hadoop, Spark).

Understanding of the practical concerns in production machine learning systems.