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We're looking to hire a Mid-Level AI Machine Learning Engineer to join our team. 3+ years of professional experience as a Machine Learning Engineer with strong knowledge of AI.
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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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Some of the work we will do is brand new Big Data, data analysis, Artificial Intelligence (AI), Machine Learning (ML), and advanced analytics, while other work will be refining and improving legacy development, as well as providing operations and maintenance.
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Programming Languages: Java, Scala or Python, Bash. We are recruiting for a Cloud Data Engineer to support a growing mission provding data related cloud resources. Our Data Engineer is responsible for the full data lifecycle – from exploratory data analysis to the upkeep of production data flows.
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Experience in leveraging cloud services or Cloud Certification (AWS Solution Architect, AWS Machine Learning, Google Data Engineering, Azure AI Engineer Associate) is a plus. A minimum of three years of developing data analytics, machine learning models (predictive models, classifications, cluster analysis, time series and forecasting, regularization, feature selection, NLP, computer vision, anomaly detection, etc.
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The Security Intelligence team is growing fast and looking for engineers who share our passion for innovation in the fields of network security, distributed systems, machine learning, and big data visualization to name a few.
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Because of our teams’ breadth of talent, we’ve been able to improve AWS cloud infrastructure in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), in compute with AWS Graviton and F1 EC2 Instances, in machine learning with AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe.
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Experience and good understanding of Machine Learning / Python / Java / Google Cloud / DevOps / CICD. Understanding or desire to learn end to end Machine Learning technology stack (Tools such as Domino Data Labs, Kubeflow, Kubernetes, Seldon Core, GCP, Jupyter Notebook, HPC, Hive, Hadoop, etc.
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Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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The Infinity Saga team in the PeopleTech/Enterprise Data and Machine Learning (EDML) organization supports the Experience Design and Research Operations Line of Business. Lead Software Engineer, Full Stack.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, Graph Machine Learning, or recommendation systems serving millions of users. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences.
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314 Main Street (21020), United States of America, Cambridge, MassachusettsSenior Lead Engineer - Generative AI Product EngineeringOur mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good.
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We are looking for an experienced Sr. Lead Engineer to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. At least 8 years of experience programming with Python, Go, Scala, or Java.
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LufCo is hiring a Software Engineer Level 1 to maintain and expand a Java based machine learning model-building system. You enjoy working with Java and want to telework as your primary work mode.
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