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AI Engineer

TechDigital Group

Role:
  • Design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, 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.
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 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.
Minimum Qualifications:
  • 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.
Preferred Qualifications:
  • 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, pyTorch, 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, MapReduce, Flume).
  • Relevant experience in technical consulting.
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Vacancy posted 1 day ago
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