Role Description: The Rackspace FinOps group enables cloud users to align their cloud technology adoption with their business strategies. We advise many of the world's largest AWS, GCP, Azure, and other Cloud consumers on topics ranging from cloud architecture to organizational governance to cloud economics, driving efficient cloud adoption and usage for our clients. The FinOps Data Engineer role is an exciting opportunity to build solutions that will help us and our clients turn complex multi-cloud cost and performance datasets into actionable insights. This is an opportunity to make an impact on a fast-growing team. You'll be instrumental in creating new and better analytics and ML solutions, and generally innovate to drive new value for our clients.
The successful candidate will provide the technical leadership for the machine learning project within the creation of Everbridge's Risk Data Ingest (Hermes) platform. The role will require collaboration with architects, domain experts, engineering management, product management, and engineers. This position requires 10 years professional experience in a data science role with good working knowledge in machine learning, natural language processing, using Python programming. The candidate must have the ability to drive machine learning projects and produce results while working with a remote team, using Zoom, Slack, email, and other collaboration tools. What you'll do: Design and implement Machine learning, deep learning predictive models/NLP utilizing diverse sources of data to reflect and expedite the RIMC (Risk Intelligence Monitoring Center) analyst's curation of risk event data.
Leading the future of luxury mobility Lucid's mission is to inspire the adoption of sustainable energy by creating the most captivating luxury electric vehicles, centered around the human experience. Working at Lucid Motors means having a shared vision to power the future in revolutionary ways. Be part of a once-in-a-lifetime opportunity to transform the automotive industry. We are looking for a Hands-on Big Data Engineering Manager who is looking for a challenge, enjoys thinking big, and looking to make their mark on an extremely fast-growing company. If building large and building fast, working with a young and very talented team of engineers, and collaborating with the brightest mind in the Automotive industry is what you like, Lucid is the best to experience it.
Want to change the world with Big Data and Analytics? Come join us on the Amazon EMR Performance team in Amazon Web Services and help us build the fastest Big Data processing platform! Amazon EMR is a web service which enables customers to run massive clusters with open-source data processing frameworks like Apache Spark, Hive, Presto, Hadoop, HBase and more, with the ability to effortlessly scale up and down as needed. We run a large number of customer clusters, enabling a variety of customer use cases including analytics and web-scale machine learning. The AWS DBS EMR organization is doing innovative work on these open source data processing frameworks with the goal of making EMR the best place to run big data workloads.