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Develop and integrate AI models and machine learning solutions using our tech stack: Python, AWS (including Bedrock, SageMaker), Docker, Postgres, and Ruby on Rails. As a Senior Machine Learning Engineer at Reserv, you will define our technological trajectory and drive growth for years to come.
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3+ years supporting the development and deploying machine learning & AI models into production and ability to work across structured, semi-structured and unstructured data. We work alongside the most innovative software providers in the data engineering space to solve our clients' toughest business problems.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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7 years of related experience with a Masters' degree in Optics, Optical Engineering, Applied Physics, Computer Science, Software Engineering, Machine Learning, Systems Engineering, Mechanical Engineering, Electrical Engineering, Computer Engineering, or related degree.
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Within this group, you will be exposed to a diverse array of electrical and computer related applications (i.e., telecom networks, 5G, 6G, LTE Advanced, Wi-Fi, industrial control systems, robotics, medical devices, artificial intelligence (AI), machine learning (ML), mesh neural networks, deep learning, cloud computing, virtual machines, operating systems, computer architecture, cybersecurity, blockchain, image and video processing, etc.
Full-timeRemoteExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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This role requires experience in Azure OpenAI, Large Language Models (LLMs), Python, and proficiency in developing applications using Streamlit, LangChain, Databricks, and Python frameworks like Flask and FastAPI. The ideal candidate will be adept at building scalable machine learning models and deploying them to production environments and also being part of customer success teams.
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The candidate should have subject matter expertise in designing and implementing machine learning pipelines including a deep understanding of core ML frameworks such as PyTorch, TensorFlow or Scikit-learn and 3rd party ML platforms from Palantir, Dataiku, DataRobot, Alteryx and other vendors.
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Collaborate with cross-functional teams including software engineers, machine learning experts, and product managers to integrate computer vision technology into products and services.
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The Department of Biomedical Informatics is a highly dynamic and multidisciplinary environment that has strengths in bioinformatics, global health informatics, imaging informatics, machine learning, mHealth informatics and signal processing.
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Expert level of understanding of NLP, NLU and Machine learning/Deep learning methods. Do applied research on a wide array of text analytics and machine learning projects, file patents and publish the papers.
$80,000 - $100,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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As a Senior ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
$135,000 - $209,500 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Develop strategies, standards and best practices in the areas of machine learning, data visualization and data integration and lead adoption throughout Ignite. This person will develop a deep understanding of the analytical need and leverage knowledge of Equifax data assets, big data technologies, data engineering, keying and linking concepts, build attributes and statistical models using traditional and modern machine learning techniques.
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For data Science/Machine learning Positions. For data Science/Machine learning. Everyone who goes through SynergisticIT's program learns all the skills necessary to succeed in many IT fields ranging from Java to Machine Learning.
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Data Analysis, Databricks Platform, Data Science, Machine Learning, Technical Solutions. Experience with designing and executing machine learning models and applications. These include but not limited to Python/Pyspark, SAS, CDC cloud environments (Databricks, SAS Viya, Azure Dev Ops etc.
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Deep understanding and knowledge of data structures and software engineering principles. 3+ Years of experience designing and building various software architecture. FanDuel Group is a subsidiary of Flutter Entertainment plc, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT.
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machine learning software jobs Company: Facebook in Atlanta, GA
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