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Machine Learning / Cloud Engineer - Hybrid - TS/SCI. As a Machine Learning Engineer with cloud experience, you willbe responsible for developing and deploying machine learning models to solve complex problems across a cloudinfrastructure that houses sensitive data and models that support mission critical operations.
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Machine Learning Engineering - Dallas, TX (Hybrid) Optimize machine learning algorithms and infrastructure for performance, scalability, and cost-efficiency. Deploy machine learning models into production environments, ensuring scalability, reliability, and real-time performance.
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The Sr. ML Data Scientist will lead various AI efforts involving computer vision, and deep learning in addition to other machine learning model builds. We have an immediate need for a direct hire Sr. Machine Learning Data Scientist to join one of the nation s largest independent automotive parts retailers.
$150,000 - $165,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Apex Systems is working with our client to find multiple Machine Learning Engineers. Design and optimize data pipelines, data storage, and data processing systems to support the training and inference processes of machine learning models.
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Dice is the leading career destination for tech experts at every stage of their careers. Apply via Dice today! US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions.
Full-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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We're looking for a Machine Learning Enigneer to join a startup building fraud prevention software. Machine Learning Engineer / MLOps. Experience in deploying ML models in production and familiarity with MLOps Understanding in statistics and Machine Learning concepts such as model selection criteria, parameter tuning, A/B Testing Big Data Components/Frameworks such as Hadoop (MapR), Spark etc.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Competencies: Machine Learning models and algorithms | Python | SQL/NoSQL. Role: Machine Learning Engineer - GenAI. Competencies: Machine Learning models and algorithms | Python | SQL/NoSQL.
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Lead Machine Learning Engineer. As a Lead ML Engineer, you will work with a small, focused team on open-ended and novel applications of unsupervised representation learning. Lead Machine Learning Engineer.
$150,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Machine Learning Engineer - Remote. Strong understanding of machine learning algorithms and principles. Machine Learning Engineer - Remote. Strong understanding of machine learning algorithms and principles.
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Experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform, OCI) and their machine learning services. Experience with building and optimizing machine learning pipelines using tools like Apache Airflow, Kubeflow, or MLflow.
$96,800 - $251,600 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Which includes being a United States Affirmative Action Employer Research Scientist- AI and Machine Learning Privacy and Security (PhD) Strong background of theory and practice of large language models as well as machine learning and deep learning.
$74,800 - $178,200 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Ampcus Inc is currently hiring for a Healthcare Data Science Advisor - Machine Learning based at Morris Plains, NJ (HYBRID POSITION) position for 12 Months. Assist in the development of new Machine Learning models to predict cost trends and customer behaviors and perform data mining by applying machine learning and supervised learning algorithms.
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Artificial Intelligence/Machine Learning Engineer with Graph database exp. Strong experience in AWS infrastructure and AI pipeline technologies (S3, EC2, RDS/Postgres, Snowflake, Airfolw.
$50 - $80 an hourFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Artificial intelligence (AI) and machine learning (ML) Lead. 3 years of hands-on improving and deploying various types of classical ML and deep learning models. Deep understanding of various classical ML/Deep learning algorithm.
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Specializes in applying knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning concepts to create self-running Artificial Intelligence (AI) systems to automate predictive models.
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machine learning jobs Title: learning Company: Dice
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