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Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA or St. Louis, MO.
$97,258 - $131,584 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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ROLE SUMMARY: Join the Anheuser-Busch NAZ Tech Data and Analytics Team as a Machine Learning Engineer. Leverage data science frameworks like TensorFlow, PyTorch, and Spark ML to build robust and scalable machine learning solutions.
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API Development & Deployment: Develop and implement APIs using Flask, FastAPI to deploy machine learning models and integrate them into existing systems or applications. Five or more years of industry experience in data science with a focus on data analytics, machine learning, and deep learning.
Full-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Building machine learning models and systems, interpret their output, and communicate their results to internal/client teams and how those outcomes realize business value.
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Hands on experience working with Cloud technologies, Infrastructure, Network Security, and/or modern deployment technologies and products including by not limited to CI/CD pipelines, Open-Source software, Artificial Intelligence and/or Machine Learning preferred.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Minimum of 3 years of experience in machine learning or deep learning engineering or demonstrated proficiency in computer vision such as training of CNN based models, GAN or diffusion based models for data generation, optimizing trained models for deployment and signal processing and traditional computer vision algorithms such as those in OpenCV.
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Experience with cloud-based machine learning services and platforms such as Google Cloud VertexAI or AWS SageMaker, and experience with model training, evaluation, and deployment workflows.
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Omni Federal designs, builds and operates data-rich applications leveraging advanced data modeling, machine learning and data visualization techniques to empower our customers to make better data-driven decisions.
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Lawrence Harvey has partnered with a global leader in payment technology and financial services to find a highly skilled Lead Machine Learning Engineer. As the Lead Machine Learning Engineer, you will play a pivotal role in designing, developing, and deploying state-of-the-art machine learning models to enhance business processes and customer experiences.
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Experience with some of the following areas: Dashboard building, Cloud Computing, Natural Language Processing, Machine Learning, Platform Development, Networking, System Design, and/or Web Development.
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Basic understanding of data preprocessing techniques such as feature scaling, feature engineering, and dimensionality reduction, and their application in preparing environmental data for machine learning models.
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Lead teams in a collaborative effort involving Engineering and data science experts in the design and implementation of Machine Learning, Dashboarding, Ad Hoc Analysis and AI applications on a true big data platform.
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Master's or Ph. D. preferred in STEM field, high proficiency in Artificial Intelligence, machine learning. 5+ years of previous experience traditional ML and deep learning techniques, AI integration strategy, and deployment tools and environments.
$203,000 - $339,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Deep knowledge of how organizations effectively and responsibly adopt advanced technologies, such as artificial intelligence (AI), machine learning, and quantum computing. The position requires strong collaboration, an aptitude for continual learning, demonstration of intellectual curiosity by asking questions and connecting work across multiple initiatives, ability to identify and mitigate risks in new and evolving areas of technology and law, and an ability to influence firm-wide.
$163,886 - $279,048 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
machine learning jobs in St Louis, Hauula, Hawaii
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