| Need--AI Engineer--Remote at Remote, Remote, USA |
| Email: [email protected] |
| From: Padma Charan Jayasingh, Vyze Inc [email protected] Reply to: [email protected] Hello, Hope you are doing great. Kindly go through the below job description and share me your consultants updated profile: Position: AI Engineer Location: Remote Duration: Long Term Visa : Except OPT, CPT, H1B Interview mode: VC, 2 Round Job Description, 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. Thanks and Regards. Padma Charan Jayasingh Technical Recruiter Vyze INC(An E- VerifiedCompany) Email: [email protected] Hangouts: padmacharan.vyzeinc 25179 Methley Plum Place, Aldie, VA 20105 www.vyzeinc.com Disclaimer: This communication, along with any documents, files or attachments, is intended only for the use of the addressee and may contain confidential information. If you are not the intended recipient, you are hereby notified that any dissemination, distribution or copying of any information contained in or attached to this communication is strictly prohibited, To remove your email address permanently from future mailings, please send REMOVE to [email protected] . Keywords: artificial intelligence machine learning golang Virginia |
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| Tue Dec 05 08:27:00 UTC 2023 |