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Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus™platform. The Site Reliability engineer will join a team of fellow SRE and Observability engineers, working together to make Enova's reliability best of breed.
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Research experience in machine learning, deep learning, and/or natural language processing. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Computer engineering, electronic, information technology, javascript, machine learning, photonics, python, radar, robotics. Work with a team of data scientist and machine learning engineers to develop and deploy GenAI applications supporting Walmart finance department.
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Knowledge of building machine learning models using Scikit-Learn, TensorFlow, Keras, or other open-source libraries. Knowledge of data visualization tools and libraries in Python/R (Shiny preferably) Or Tableau.
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Knowledge of relational databases such as MySQL , snowflake and BigQuery. Candidates who have heavy Telecom and SatCom, Cable, and communications company, experience will only be considered. Description: Our client is currently seeking a Data Scientist - ON SITE.
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Data Science/Data Engineer experience ideally with someone that has worked with networks and has a network engineering background. 5+ years of experience using AWS Cloud technology. Strong data science design knowledge and experience in ML/Ops/DevOps.
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Experience in machine learning / deep learning, x-ray imaging, medical image reconstruction, or image-guided intervention systems is highly preferred. Learning & Development Opportunities: On-demand online training and book reimbursement.
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We have a fast-growing team that's distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.
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Experience with machine learning algorithms and tools (e.g., Pytorch, JAX), artificial intelligence, deep learning, and natural language processing. This is an exciting opportunity for AI or Machine Learning professionals and academics to join the brightest minds, helping Australia's most potent generative AI-powered platform unleash the world's creativity through novel tools for human-ai collaboration and intelligent systems.
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10+ years of technical experience doing data science in a Telecommunications company. Bachelor's degree in computer science, Data Science or related technical field. Must have strong DS design knowledge and has experience in some Client/Ops/DevOps.
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Knowledge of applying machine learning to ASIC verification flow. Mission: Groq is a machine learning systems company building easy-to-use solutions for accelerating artificial intelligence workloads.
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Implement standards for monitoring microservices, web apps, mobile apps, databases, Kubernetes clusters, and machine learning platforms, in a fast-paced environment. As a Senior Site Reliability Engineer, your work will directly impact the success of the SRE team.
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Computer science, electrical, linux, matlab, programmer, schematic. Data Science/Data Engineer experience ideally with someone that has worked with networks/ also has network engineering background. solid (Telecom/Data Engineer experience.
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Central to Data Production is the HIPE application ( Human-in-the-Loop Processing Engine ), which uses sophisticated machine learning and carefully-designed UI/UX to help experts quickly and accurately extract data from medical records as we receive them.
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