- Amazon (Seattle, WA)
- …Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop , Spark etc. Amazon is an equal opportunity employer and does not ... will be a problem solver who enjoys diving into data , is excited by difficult modeling challenges and ambiguous...teams. A day in the life Our team takes big swings and works on hard cross organizational problems… more
- GE HealthCare (Bellevue, WA)
- …using AWS technologies + Experience with Big Data technologies, including data storage and processing frameworks such as Hadoop , Spark , Kafka, and ... Qualifications** + 10+ years of experience, including 3+ years working with big data systems, analytics, containerized microservices, serverless functions, and… more
- Amazon (Seattle, WA)
- …Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop , Spark etc. Amazon is an equal opportunity employer and does not ... a fast-paced and high-leverage environment. Key job responsibilities - See the big picture. Understand and influence the long term vision for Amazon's science-based… more
- Amazon (Seattle, WA)
- …Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop , Spark etc. Amazon is an equal opportunity employer and does not ... developing production ready learning models. You consistently bring strong, data -driven business and technical judgment to decisions. You will...the world at all levels. Our team makes a big impact because nothing is more important to us… more
- SitusAMC (Olympia, WA)
- …MLflow, Kubeflow, DSPy.) + Knowledge of distributed computing systems and large-scale data processing frameworks ( Spark , Hadoop ) + In-depth knowledge ... can be yourself, advocate for others, stay nimble, dream big , own every outcome, and think global but act...role would be working closely with the AI Developers, Data Engineers, and Business to suggest, design, and implement… more
- Microsoft Corporation (Redmond, WA)
- …Deep knowledge of algorithms, machine learning, and distributed/cloud computing systems (eg, Spark , Hadoop , Azure). + Published papers in reputed ML conferences ... team, understanding the customer is just the beginning. We analyze customer data , understand their problems, build models to address these issues, and collaborate… more