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In particular, hands-on experiences with deep learning models such as ( Diffusion Neural Networks (DNN), Attention, Convolution Neural Networks (CNN), Recursive Neural Networks (RNN) and frameworks (PyTorch, TensorFlow, Keras, etc.
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Hands on experience with deep learning frameworks (e.g. PyTorch, TensorFlow) and GenAI models (e.g. GPT, StableDiffusion). Machine Learning Engineer. Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models.
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The ideal applicant will understand LLM APIs thoroughly and be an expert in Python (3.9 and higher) using Flask, Django, or Fast API. Experience building ML training pipelines and distinctive machine learning models is a major focus for this role, therefore previous experience is a huge plus.
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5+ years of experience in a Data Scientist or Machine Learning Engineer role required. Full JD: AI/ Machine Learning Engineer (Data Science Platform) Job Title: Al/ Machine Learning Engineer (Data Science Platform.
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We are a well established Defense contractor with deep expertise in Machine Learning and Deep Learning projects for Military and Homeland Security programs. Develop, implement, and optimize cutting-edge machine learning algorithms related to image processing, signal processing, RADAR, and Synthetic Aperture Radar (SAR.
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Must be an expert in ML, deep learning, TensorFlow, Python, and NLP. Have to analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards.
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Expertise in predictive analytics including regressions and machine learning techniques. Prior experience with production systems running advanced statistical algorithms and machine learning.
$150,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Deep Learning - Keras , TensorFlow, Pytorch - Jupyterhub, Jupyter Notebooks, Anaconda. Dice is the leading career destination for tech experts at every stage of their careers. Apply via Dice today.
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You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
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The ideal engineer will have experience developing APIs, using NodeJS & TypeScript, and have experience with data engineering, anomaly detection, statistics, and machine learning ops. Experience in Data Engineering, Anomaly Detection, Statistics, and Machine Learning Ops.
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Must have AWS certifications (e.g., AWS Certified Solutions Architect). Proficiency in database technologies (e.g., PostgreSQL, MySQL, or NoSQL databases). Participate in Agile development processes, including sprint planning, daily stand-ups, and retrospectives.
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Architect and implement scalable and efficient machine learning systems. Work closely with data engineers to ensure the availability and quality of data for training and evaluation of machine learning models.
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Our Direct client is looking for SR Machine Learning Engineer for Pittsburgh Location. Use machine learning, data mining, and statistical techniques to create new, scalable solutions for business problems.
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Experience with one or two of the following: MLOps, Deep Learning methods, NLP, computer vision, sentiment analysis, topic modeling and graph theory, and databases. Machine Learning Engineering - Dallas, TX (Hybrid.
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Design and develop software applications that integrate AI technologies, including Generative AI, machine learning, and natural language processing. In-depth knowledge of Azure Machine Learning for model deployment, management, and operationalization.
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learning job Company: Dice in CO, Missouri
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