22 hours ago
Yerevan, Armenia or Mexico City, MexicoSenior
Responsibilities
- Act as a trusted technical advisor and solve complex machine learning challenges for customers.
- Design and implement machine learning solutions using Google Cloud products including TensorFlow, Dataflow, and Vertex AI.
- Coach customers on feature extraction and definition, data validation, monitoring, and management of features and models.
- Collaborate with customers, partners, and Google product teams to deliver tailored production solutions.
- Support customer implementations through architecture guidance, data migration, capacity planning, implementation, troubleshooting, and monitoring.
- Create best-practice recommendations, tutorials, blog articles, sample code, and customer workshops.
- Travel up to 30% in-region for meetings, technical reviews, and onsite delivery activities.
Requirements
- Bachelor's degree in Computer Science or equivalent practical experience.
- Experience building machine learning solutions and working with technical customers.
- Experience designing cloud enterprise solutions and supporting customer projects through completion.
- Experience with data structures, algorithms, software design, and Python coding.
- Fluent English communication skills for collaboration across teams.
- Preferred experience with recommendation engines, data pipelines, distributed machine learning, deep learning frameworks, data analytics, data visualization, and data science methodologies.
- Preferred experience in software development, professional services, or technical consulting for new technology initiatives.
- Knowledge of data warehousing, ETL/ELT, technical architectures, big data environments, cloud computing, virtualization, multi-tenant infrastructures, and storage systems.
- Excellent customer-facing communication, listening, and solution-architecture skills.
Benefits
- Up to 30% in-region travel is required for customer meetings, technical reviews, and onsite delivery activities.
Tech Stack
Categories
Solutions Engineering
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.