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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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The ideal candidate will have a strong background in AWS, Redshift, Snowflake, dbt, Python, building ETL pipelines, and Machine Learning. Collaborate with data scientists and analysts to support machine learning initiatives and advanced analytics.
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New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer. 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.
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Cloud, artificial intelligence, machine learning, mobile, Preferred qualifications, capabilities, and skills ISS Server 7+ administration,. Experience with Azure resources such as: Resource Groups, VMs, Storage Accounts, Service Buses, Expose API in AAD) Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s): Python and.
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As a Lead, Machine Learning Engineer, you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals to implement machine learning models that will deliver stability, producibility, scalability and integration with other products and services.
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We work across an incredible range of technology domains: hardware, firmware, web, mobile, backend, data, messaging, content, streaming, and machine learning. Work with Terraform, Amazon Web Services, Golang, Python, Github Actions.
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Proficiency in writing Python for either Data Science, Machine Learning, or other distributed systems workloads. The MLCE role extends to educating customers on machine learning concepts, proposing creative solutions, actively contributing to the company's growth and helping shape our product.
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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.
$170,600 - $255,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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C ome join Kohler Ventures as Sr. Fullstack Engineer, as we build a best-in-class global multi-disciplinary team across artificial intelligence, machine learning, design, advanced software and hardware engineering, strategy, venture investments, sales, marketing, and partnerships.
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As a staff engineer, you will partner with your team and partner teams like machine learning, and Ads to create and improve scalable, fault tolerant, self-serve systems. Excellent communication skills to collaborate with stakeholders in engineering, data science, machine learning, and product.
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Experience must include: Process Mining event-logs, PQL, SQL, Python, and YAML; SaaS applications, and ERP systems (including SAP, Oracle, Ariba, Coupa); Implementing Automation/RPA and BI tools; Machine Learning and Simulation; Utilizing ETL including API, Kafka, on-premises extraction; Leading enterprise software sales cycle with Annual Contract Value (ACV) above $1 Million; and Software and/or consulting engagements centered on finance and supply chain transformation initiatives.
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AI Integration: Contribute to the integration of AI and machine learning algorithms into the platform, providing data-driven insights and predictive analytics. Proficiency in a wide range of web development technologies and languages, including JavaScript, React, Node.js, and Python in addition to professional experience in C.
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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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5+ years' experience as a Machine Learning Engineer, Data Scientist, or similar role, with a strong track record of developing and deploying machine learning models in real-world applications.
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This position sits within the Analytics team of the broader Data & Analytics department and work closely with our Data Engineering, Business Intelligence, and Machine Learning teams. Work with our Data Engineering, Business Intelligence and Machine Learning teams on data infra, dashboards and ML models.
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machine learning python jobs Title: engineer in Jersey City, NJ
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