Conversational AI SCE, Google Cloud

• Serve as 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.

Minimum qualifications:

• Bachelor's degree in Computer Science or equivalent practical experience.
• 3 years of experience building machine learning solutions and working with technical customers.
• Experience designing cloud enterprise solutions and supporting customer projects to completion.
• Experience in one or more discipline areas: chat/voice bot development, machine learning (ML), natural language processing (NLP), or linguistics.
• Experience in one or more general-purpose programming languages such as Python, Java, Go, or Node.js/TypeScript, with experience building serverless functions, webhooks, and REST/gRPC API integrations.

Preferred qualifications:

• Google Cloud Professional Machine Learning Engineer (PMLE) certification or Professional Cloud Architect certification.
• Experience working with recommendation engines, data pipelines, or distributed machine learning.
• Experience with deep learning frameworks (e.g. TensorFlow, pyTorch, XGBoost).
• A solid understanding of the auxiliary practical concerns in production machine learning systems.

• Bachelor's degree in Computer Science or equivalent practical experience.
• 3 years of experience building machine learning solutions and working with technical customers.
• Experience designing cloud enterprise solutions and supporting customer projects to completion.
• Experience in one or more discipline areas: chat/voice bot development, machine learning (ML), natural language processing (NLP), or linguistics.
• Experience in one or more general-purpose programming languages such as Python, Java, Go, or Node.js/TypeScript, with experience building serverless functions, webhooks, and REST/gRPC API integrations.