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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. Experience working with cloud data warehouses (Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse)required.
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As a Director, 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.
$163,300 - $244,900 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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We are seeking a highly motivated Machine Learning Engineer Co-Op from July 2024 to December 2024, focusing on Natural Language Processing (NLP) and Computer Vision applications. As a Machine Learning Engineer Co-Op, you will work closely with cross-functional teams, including Data Science, Software Engineering, and Product Management, to develop machine learning models, implement solutions, and ensure the successful deployment and maintenance of these models in production.
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Proven experience (3+ years) in AI and machine learning projects, with a strong portfolio showcasing chatbot or similar AI-driven applications. AI and Machine Learning: Utilize state-of-the-art AI and machine learning techniques, including natural language processing (NLP), to train the chatbot for accurate and effective communication.
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Proven experience as a Data Scientist, with a focus on machine learning, LLM, and Deep Learning. Stay updated on the latest advancements in machine learning, particularly in the areas of LLM and Deep Learning, and apply cutting-edge techniques to solve complex problems.
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The Machine Learning Engineer III will be a member of the Learning and Active Perception (LEAP) group in AV’s MacCready Works division and develop a variety of innovative computer vision (detection, classification, localization, and tracking) and other analytics solutions for defense and commercial applications.
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Collaborate with data scientists and engineers to design, build, and maintain Azure-based MLOps pipelines for automating machine learning model deployment, monitoring, and maintenance. Implement Azure-based deployment pipelines for deploying machine learning models into production environments.
$135,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications within The Friedkin Group of companies. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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We are seeking a talented and motivated machine learning engineer to join the team leveraging extensive clinical data resources to develop, validate, and deploy cutting-edge ML technology.
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Qualifications We DesireMaster’s degree in Computational Biology, Computational Bioengineering, Machine Learning, Statistics, Computer Science, Mathematics, or a related field. Knowledge and experience developing and applying algorithms in one or more of the following machine learning areas/tasks: deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning, ensemble methods.
$159,324 - $245,544 a yearFull-timeExpandApply NowActive JobUpdated Today - 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.
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The team is looking for an experienced Machine Learning Engineer to join us in developing a state-of-the-art motion planning system for autonomous driving. As an expert in machine learning in the Motion Planning team, you will be responsible to design and develop new Machine Learning models for our Motion Planners, and to deploy the model on our next-generation autonomous vehicle platform and ultimately to millions of Toyota production vehicles.
$161,000 - $264,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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A law firm is seeking a highly skilled Machine Learning Technology Specialist to join its team in San Diego, CA. The ideal candidate will be responsible for drafting patent applications, corresponding with patent offices, advising patent litigation teams, and conducting interviews with inventors.
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machine learning jobs Title: portfolio director Company: Leidos in Mabelvale, Arkansas
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