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Salesforce is looking for an exceptional Machine Learning Engineer| AI Resercher to help us take on one of the world’s most extensive data sets and transform it into amazing products that feel like magic.
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Experience with machine learning techniques and advanced analytics (e.g. regression, classification, clustering, time series, econometrics, causal inference, mathematical optimization). Experience in designing and building highly scalable distributed ML models in production (Scala, applied machine learning, proficient in statistical methods, algorithms.
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Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. )Experience building scalable and maintainable data pipelinesExperience with AWS ECS and/or KubernetesExperience with a workflow manager such as AirflowExperience with large scale processing frameworks (e.g. Spark, Hadoop.
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Work with internal cloud infrastructure like HPC or AWS Batch to run millions machine learning training jobs. When you join the Latitude team, you'll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering.
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As a Principal AI/ML Engineer ,you will be responsible forbuilding machine learning based solutions for Data Integration, Data Quality, Master Data Management, Data Governance, and other Information Management solutions.
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Experience with Docker / Kubernetes / Istio Experience building and maintaining REST and gRPC APIs with scalable Auth strategies Experience deploying/managing infrastructure in public cloud environments such as AWS or GCP. Experience with Docker / Kubernetes / IstioSpecialized Skills - Desired: Previous experience working in projects in an agile software environment Experience using Machine Learning frameworks.
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Technology, Artificial Intelligence, Data Science, Machine Learning, Data Analytics, Healthcare. Expertise in vector database technology and designing retrieval systems for high-performance machine learning applications.
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Its proven technology supports fraud detection, customer 360, MDM, IoT, AI, and machine learning. TigerGraph is a platform for advanced analytics and machine learning on connected data.
$70,000 - $110,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, predictive and prescriptive modeling, and much more.
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Use Deep Learning models like CNN, RNN and NLP (BERT) for solving various business use cases like name entity resolution, forecasting and anomaly detection. Experience with analytics (ex: SQL, Presto, Spark, Python, AWS suite.
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We are seeking a Full-Stack Engineer with a solid foundation in software development and an interest in machine learning and artificial intelligence. Knowledge of API development, including REST and GraphQL. Understanding of machine learning and artificial intelligence concepts.
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Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning). Research, design, implement, and deploy Machine Learning algorithms for enterprise applications.
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Working knowledge of open source machine learning libraries (e.g. Scikit-learn, MLlib, TensorFlow, etc.) We are looking for a Machine Learning Engineer for our Personalization team.
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At Gauss Labs we are looking for a passionate Machine Learning Engineer who will collaborate with scientists and engineers to improve manufacturing efficiency and reliability in IC manufacturing using data and artificial intelligence.
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AWS Analytics is looking for a passionate, inventive Applied Scientist with a strong background in programming languages combined with experience in machine learning to help create industry-leading analytics experiences powered by generative AI, machine learning, and program analysis.
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