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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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In this role you will work at the intersection of Machine Learning and Data Engineering. Capital One’s commitment to machine learning has sponsorship from the CEO, the Board of Directors, and the executive committee of the company.
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Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB.
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Optomi, in partnership with a leader in the family entertainment industry, is seeking a Computer Vision / Machine Learning Engineer to join their growing team! Machine Learning Engineer.
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About The RoleWe use machine learning and large language models to build software which helps our customers operate their business effectively. Experience with big data systems in production: eg, Spark, Pinot, Presto.
$278,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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MongoDB is growing rapidly and seeking a Senior Software Engineer for the Machine Learning Platform team to be a key contributor to the critical data science and machine learning initiatives at MongoDB. The ML Platform team focuses on building a scalable, reliable, and flexible machine learning ecosystem encompassing key components such as model training, deployment, instrumentation and performance tracking in order to empower critical MongoDB product and business initiatives.
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Ability to communicate technical details to nontechnical stakeholdersStrong machine learning background in Python; experience with Spark, PyTorch or TensorFlow. Develop production machine learning solutions batch and realtime to provide the world class merchant experience.
$255,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Examples include Azure Machine Learning Studio, Google’s Vertex AI, IBM Watson Studio, Amazon SageMaker and open-source tools like Kubeflow. Examples include MPP data warehouses like Snowflake and Amazon Redshift and all-in-one Apache Spark platforms like Databricks.
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8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining or artificial intelligence. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU.
$293,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Collaborate with cross-functional teams such as Data Scientists, Product Partners and Developers to identify opportunities for process improvements that can be solved using machine learning and generative AI.
$204,600 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications.
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Solid theoretical background in machine learning or data mining and strong conceptual, problem solving, and analytical skills. As a machine learning serving engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact.
$280,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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As an AI Machine Learning Senior Associate within our dynamic team, you will be tasked with fostering long-term profitable growth by utilizing your robust business acumen. Experience on model development with statistical analysis and machine learning techniques such as Regressions, decision trees, Gradient Boosting, and Neural Networks.
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Machine Learning, Python, Spark, Java, PostgreSQL, Iceberg, Superset, PyTorch, TensorFlow, S3. Familiarity with Machine Learning lifecycle and tools, including PyTorch and TensorFlow, is desired.
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Proficiency in cloud services (AWS/GCP) and familiarity with machine learning training, deployment, and distributed computing frameworks like Spark. - Stay abreast of the latest academic research and open-source advancements, integrating cutting-edge technologies to continuously improve our data operations and machine learning model performance.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago
machine spark jobs Title: learning in New York, NY
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