AI Engineer: ML Solutions Architect for Customers

TechDigital Group; Seattle (WA); On-site; USD 140,000 - 210,000; Full time

Job summary

TechDigital Group in Seattle is seeking a Machine Learning Solutions Architect to design and implement ML solutions for customer use cases leveraging TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities, deploy solutions, and deliver workshops to educate and empower clients.

Collaborating with Product Management and Product Engineering, you will help build and improve Google Cloud-based solutions while guiding best practices, architecture, and data

Qualifications

• Bachelor degree in Computer Science, Mathematics or related field, or equivalent practical experience.
• Hands-on experience building ML solutions.
• Experience coding in Python, Scala, Java, or Go with strong data structures and algorithms.

Responsibilities

• Be a trusted technical advisor to customers and solve complex Machine Learning challenges.
• Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of stakeholders.
• Work with Customers, Partners, and Google Product teams to deliver tailored solutions into production.
• Coach customers on feature extraction/definition, data validation, monitoring, and management of features/models.

Skills

Machine learning

Python

Scala

Java

Go

Customer interaction

Education

Bachelor’s in CS/Math/related

Tools

TensorFlow

DataFlow

Vertex AI

Apache Beam

Hadoop

Spark

Pig

Hive

MapReduce

Flume

PyTorch

Job description

TechDigital Group in Seattle is seeking a Machine Learning Solutions Architect to design and implement ML solutions for customer use cases leveraging TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities, deploy solutions, and deliver workshops to educate and empower clients.

Collaborating with Product Management and Product Engineering, you will help build and improve Google Cloud-based solutions while guiding best practices, architecture, and data