| AI Engineer ... at Remote, Remote, USA |
| Email: [email protected] |
| AI Engineer Duration: 4 weeks from start date with potential to extend Allocation: 100% Role Description & Requirements: 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 ML 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 ML 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. Kind Regards, Asim Ahamed [email protected] Intellicept Corporation - A Division of McKinsol Consulting signature_633416135cid608741*[email protected] SAP S4 HANA | SAP S/4 Fashion | SAP Staffing| Non-SAP Roles (Intellicept Inc.) Keywords: artificial intelligence machine learning sfour sfour golang |
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| Mon Dec 04 20:58:00 UTC 2023 |