Minimum qualifications:
- Bachelor's degree in Computer Science, Mathematics, Machine Learning, or equivalent practical experience.
- 6 years of experience building ML models for different use cases (e.g., tabular data, images, video, speech, unstructured text), and building production ML models with TensorFlow, Keras, PyTorch, JAX, Spark ML, or Scikit Learn.
- 2 years of experience coding in one or more of the following languages: C, C++, Java, or Python.
- Experience working in a cloud environment (e.g. Google Cloud or similar).
- Ability to communicate in Japanese and English fluently to interact with internal and external stakeholders.
Preferred qualifications:
- Master's degree or PhD in Computer Science, Mathematics, or other quantitative field, including ML related work.
- Experience working in a fast-moving technology area, while being comfortable working in a dynamic and ambiguous environment.
- Experience conducting data and ML technical training or in client-facing technical consulting role.
- Experience taking on new materials and delivering them to clients/students, with a passion for learning and continued self-development.
- Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, Extract, Transform, and Load/Extract, Load and Transform and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark, Hive).
About the job:
As a Machine Learning Solutions Engineer, you will be focused on delivering, creating, and maintaining Machine Learning and Generative AI content for ASL participants. You will be working side by side with our customers, helping them apply AI and Machine Learning to their specific business use cases. You will be leading the 'day to day' experience for participants of the Advanced Solutions Lab. Therefore you will always be working to improve the offering, including recommendations on curriculum enhancements, identifying and engaging Google Machine Learning (ML) experts to support various sessions in the program, or making recommendations on open-sourced models, frameworks, and toolkits.
In addition to your work in the Advanced Solutions Lab, you will also be a member of the wider Google AI and machine learning community. You will collaborate with other AI experts from across Google, work on research and engineering projects, or on customer engagements that deliver impact on the world.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities:
- Own the success of each ML Advanced Solutions Lab experience by delivering excellent content, identifying ML experts across Google to support specific sessions and providing ongoing curriculum enhancements.
- Lead and support customers' AI/ML projects from project framing to implementation in the Advanced Solutions Lab.
- Design AI/ML curriculum by understanding market and customers' needs, and develop materials collaborating with the team and AI/ML experts across Google.
- Stay informed of developments in AI/ML and network across the Google Cloud ML research community, to provide ASL participants with knowledge and opportunities for interactive engagements with other Google ML experts.
- Act as an AI/ML SME within the Google Cloud Consulting team and support other ML activities as they arise.
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