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Einstein products & platform redefine AI and transforms the way our Salesforce Ohana builds trusted machine learning and AI products - in days instead of months. Responsibilities:Working with Sagemaker, Tensorflow, Pytorch, Triton, Spark, or equivalent large-scale distributed Machine Learning technologies on a modern containerized deployment stack using Kubernetes, Spinnaker, and other technologies.
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Support Data Science research by designing, developing, and maintaining all parts of the Big Data pipeline for reporting, statistical and machine learning, and computational requirements.
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Awareness of machine learning software frameworks including PyTorch, pgvector, JAX, Neuron, MXNet, TensorFlow, or similar technologies. Heroku is seeking a senior software engineer for our exciting new AI, machine learning, and LLM offerings for our customers.
$133,400 - $237,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Einstein products & platform democratizes AI and transforms the way our Salesforce Ohana builds trusted machine learning and AI products - in days instead of months. ● Working with Sagemaker, Tensorflow, Pytorch, Triton, Spark, or equivalent large-scale distributed Machine Learning technologies on a modern containerized deployment stack using Kubernetes, Spinnaker, and other technologies.
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The DnA team, comprising machine learning professionals, collaborates with analysts, engineers, executives, product managers, marketers, customer success, and sales team members across all Cloud businesses.
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S pecial Skill Requirements : (1) MySQL; (2) Kubernetes; (3) Linux; (4) Django REST Framework; (5) Machine Learning Algorithms; (6) AWS Services; (7) Terraform; and (8) Python (Programming Language.
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2 years in each of the following: (1) Python; (2) SQL; (3) Object Oriented Programming; (4) Pandas; (5) Machine Learning; (6) Cloud computing technologies such as AWS; (7) pySpark; (8) Statistical Modeling; and (9) Distributed computing.
$174,117 - $208,800 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Solid understanding of machine learning principles, deep learning architectures, and generative modeling techniques. Relevant certifications in AI, machine learning, or cloud platforms (e.g., AWS Certified Machine Learning Specialty.
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Job Duties: Responsible for writing industrial level code with enough code coverage, developing, and deploying state-of-the-arts machine learning algorithms, developing large scale real-time data pipelines, developing machine learning infrastructure to support recommendation and contextual Bandit for Salesforce Interaction studio.
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Machine Learning Engineer. We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way.
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1) Machine Learning (two years); (2) Advanced Statistical Modeling Techniques (two years); (3) Data Analytics; (4) Data visualization; (5) Object-oriented programming; (6) Python; (7) R; (8) SQL; (9) Database management systems; (10) Version control system.
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Familiarity with advanced statistical and machine learning techniques such as clustering, gradient boosting machines (GBM), support vector machines (SVM), neural networks (e.g., ANN, RNN, CNN), and other deep learning algorithms is a plus.
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This client is a leading provider of specialist cutting edge systems and products used in a variety of industries such as AI, Machine Learning, Automotive & more. With Salesforce being a core platform of their IT infrastructure, it allows their global operation to evolve and grow substantially across Europe, North America & Asia.
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Salesforce is looking for an exceptional Machine Learning Engineer to help us take on one of the world’s most extensive data sets and transform it into amazing products that feel like magic.
$146,600 - $305,600 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Our mission is to develop data products driven by machine learning that empower stakeholders to impact the bottom line and address critical business challenges. As a Subject Matter Expert, you'll collaborate closely with Salesforce stakeholders, delving deep into their business and technical challenges.
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machine learning jobs Company: Salesforce
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