| Direct client requirement for Data Scientist in Mountain View, CA with Infrastructure background, Automotive preferred at Mountain View, California, USA |
| Email: [email protected] |
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From: satin, Cohesive Technologies [email protected] Reply to: [email protected] Greetings for the day to all my vendors, Hope this mail finds you well! We have an immediate requirement from direct client so please find below details and share suitable profiles ASAP. Position : Data Scientist Location : Mountain View, CA Duration : Long-term Contract Note: Looking for Infrastructure background, Automotive preferred Description: Collaborates with internal and external partners using modern software and systems best practices Research emerging new technologies that could enhance performance and lower costs Defines research goals and objectives for date infrastructure. For example, identify bottlenecks in E2E performance and research solutions to remove or improve performance Define own research tasks to advance the state-of-the-art data and ML infrastructure Research and develop innovative ideas and solutions for data infrastructure that deliver Better performance and Scalability Lower Cost and reduce latency High availability and Redundancy Observability and Reliability Encryption, Security, etc Requirements: PhD in Computer Sciences, Mathematics Information Systems or closely related field 5 years of hands-on prototyping and Proof of Concept (PoC) building experience Expertise in data nad ML infrastructure technologies including Tensorflow, Prytorch, Kafka, Spark, S3, Kubernetes, Databricks, Hadoop, Redshift, BigQuery, R and more Track record of researching data infrastructure including patents and publications Experienced contributor of driving standards (e.g., IEEE, NIST, etc) Strong AI ML - understanding of different AI models, algorithms. Ability to perform research. Ability to code - Python, C, SQL, or proficient Ability to discuss and present ideas concisely. Strong knowledge of data - end to end from data ingestion (IoT) to data analytics. Works highly independently, research critical challenges facing data and ML infrastructure w.r.t to performance, scalability, costs, etc. These include: End-to-end data infrastructure from data ingest to data analytics Federated learning to effectively distribute ML models GPU or other sparse chips performance w.r.t to CNN, ANN and other types of ML models Infrastructure sustainability Ability to go from concept to product Collaborates internally and externally, which includes building new collaborative partnerships Work with sensors data in vehicle preferred Thanks! Satin Harper Senior Talent Acquisition Partner Phone: (470) 668- 2233 www.cohetech.com LinkedIn ID : https://www.linkedin.com/in/satin-harper-0b9393229/ Keywords: cprogramm artificial intelligence machine learning sthree rlang golang computer associates |
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| 06:31 PM 09-Jan-23 |