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AI Engineer: ML Solutions Architect Customers
Job in
Seattle, King County, Washington, 98127, USA
Listed on 2026-10-24
Listing for:
TechDigital Group
Full Time
position Listed on 2026-10-24
Job specializations:
-
IT/Tech
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Engineering, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
Role:
- Design and implement machine learning solutions for customer use cases, leveraging core Google products including Tensor Flow, Data Flow, and Vertex AI
- Work with customers to identify opportunities to apply machine learning in their business, deploy solutions and deliver workshops to educate and empower customers .
- Work closely with Product Management and Product Engineering to build and constantly drive excellence in our products.
- Support customer implementation of Google Cloud products through: architecture guidance,best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more.
- 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 key business and technical stakeholders.
- Work with Customers, Partners, and Google Product teams to deliver tailored solutions into production.
- Coach customers on the practical challenges in Client systems: feature extraction/feature definition, data validation, monitoring, and management of features/models.
- Bachelor degree in Computer Science, Mathematics or a related technical field or equivalent practical experience.
- Hands-on experience building machine learning solutions.
- Experience coding in one or more languages such as Python, Scala, Java, Go, or similar with strong competencies in data structures, algorithms, and software design.
- Experience working with technical customers.
- A solid understanding of the auxiliary practical concerns in production Client systems
- Experience working with recommendation engines, data pipelines, or distributed machine learning
- Experience with deep learning frameworks (such as Tensorflow, py Torch, XGBoost).
- Knowledge of data warehousing concepts, including data warehouse technical architectures,infrastructure components, ETL/ ELT and reporting/analytic tools and environments (such as Apache Beam, Hadoop, Spark, Pig, Hive, Map Reduce, Flume).
- Relevant experience in technical consulting.
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