Data Scientist job vacancy

Vacancy expired!

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