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The Data Scientist in this role is responsible for statistical analysis, deep learning modeling, data wrangling, mathematics algorithms, computer vision models, visualization of data and outcome, and validations of model performance.
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Experience developing AI and deep learning-based machine vision metrology applications where defects can be trained using simple UIs. CelLinks investors include 3M, Atreides, BMW, BorgWarner, Bosch, D1 Capital, Fidelity, Fontinalis Partners, Ford, Franklin Templeton, Lear, Park West, SK Telecom, Standard Investments, T. Rowe Price, Tinicum, and Whale Rock.
$85,000 - $135,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Machine Learning Data Scientist to build & support scalable, highly available and robust Machine Learning (ML) /Deep Learning (DL) platform using ML/DL frameworks, Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers.
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Image Processing, Computational Imaging, Computer Vision; Practical experience with Deep Learning, Machine Learning, or Artificial Intelligence, for images, is preferred; Capable of prototyping Algorithms using MATLAB or Python, and implementing algorithms in C.
$100,100 - $172,200 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Deep knowledge of BI concepts and implementation experience on Cloud with databases like SnowFlake, Big Query, Cloudera. If you enjoy learning new technologies, solving challenges with little mentorship, and are comfortable proposing and implementing solutions, demonstrating Software Engineering standard methodologies, you will find it rewarding to work in GBI.
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Familiarity and/or willing to learn deep learning capabilities leveraging Tensorflow/Torch. ALTA IT Services is seeking a Machine Learning Engineer to join our client on a multi year contract basis.
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Deep Learning and Machine Learning using frameworks, such as TensorFlow or PyTorch etc. Foster a culture of learning and innovation. Cultivates Csuite relationships with global cloud service providers (CSPs), digital services/SaaS providers, enterprise, cloud and public sector customers, independent software vendors (ISVs), system integrators (SIs), and managed service provider (MSP) partners to maximize utilization of Company product capabilities.
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Expertise in advanced machine learning techniques, including deep learning, data mining, clustering, regression models, predictive modeling, optimization, and ranking. Proficiency in ML and Deep learning libraries in Python (MLlib, PyTorch, Keras, TensorFlow, etc.
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Solid knowledge of machine learning concepts, including deep learning, optimization algorithms, regularization techniques, transformer architecture. Remote Staff Machine Learning Scientist Generative AI.
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Strong programming skills in one or more programming languages (Python, R, Scala), and proficiency in popular deep learning frameworks like TensorFlow or PyTorch. Experience with NLP, LLMs, deep learning and working with typical data used in such models.
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Established expertise and genuine passion for natural language processing (NLP), machine learning, deep learning, and large language models. Proficiency with deep learning frameworks like TensorFlow, PyTorch, and JAX.
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The Enterprise OneStream RunTime team in the Enterprise Data and Machine Learning (EDML) organization supports the AWS hosted Data Ingestion and Data Processing applications enabling a centralized data movement platform across Capital One. You will get an opportunity and exposure to all possible data pattern combinations across Capital One and dive deep into the unique engineering challenges it brings around data integrity, security and scale.
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Experience working with Pytorch, Tensorflow or other modern deep learning frameworks. Deep learning expertise: Experience training deep-learning models in an end-to-end fashion, writing custom layers/operations, optimizing networks for inference on embedded systems.
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Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
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Minimum of 7 years of experience in ML development and deploying ML solutions in cloud-based production environments for a Senior MLS IMinimum of 9-12 years of experience in ML development and deploying ML solutions in cloud-based production environments for a Senior MLS IIMachine learning: Strong mathematical foundation and understanding of the concepts underlying classic machine learning, deep learning, NLP, statistical modeling, and data analysis.
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