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Hands on experience with ML frameworks and libraries (Scikit-learn, Pytorch, Tensorflow, LightGBM, Keras, etc.) If this describes you, read on – we want to hear from you THE GAME PLAN Everyone on our team has a part to play Building multi-layer serving architectures for ML models Business intelligence tools (e.g., Tableau, Knime, Looker) Data security and privacy (e.g. GDPR, CPP) Data governance and data testing frameworks.
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Prototypes and do proof of concepts (PoC) in one or all the following areas: LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection/classification, tracking, etc. Stay up to date with the latest advancements in LLM, NLP, deep learning, machine learning, and object detection algorithms, and proactively identify opportunities to leverage new technologies for improved solutions.
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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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Infrastructure Operations: Minimum 3 to 7+ years of hands-on experience in some combination of the following technologies: Azure (VMs, Web Apps, Managed Databases), GitHub Actions, Terraform, Packer, Airflow, Docker, Kubernetes, Linux/Windows VM administration, Shell scripting (primary Bash but PowerShell as well.
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FM Global is seeking a Machine Learning Operations Data Engineer II to join our AI/ML team to support Machine Learning Engineering, working very closely with Data Science, Data Engineering, Subject Matter Experts and Solution Architecture teams.
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Hands-on experience with electrical CAD tools (Altium, Solidworks Electrical, Siemens NX, AutoCAD, Creo Schematics, OrCAD, etc.) Hands-on experience with electrical design for various systems (low voltage power, controls, instrumentation, ordnance, radio frequency, etc.
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Modern Technology Solutions, Inc. (MTSI) is seeking a Artificial Intelligence / Machine Learning Intern to join our team in Huntsville, AL. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, OpenCV.
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Using advanced Econometrics, Statistics, and Machine Learning to perform Quantitative analysis for portfolio construction and alpha generation, risk budgeting, trade sizing, stress testing, scenario analyses, performance attribution, risk model validation, new product development, exposure, and performance monitoring/reporting.
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Position Summary: FL94 is seeking a hands-on,n experienced, creative, and visionary Machine Learning Lead. Demonstrated mastery of a broad array machine learning and deep learning approaches across a variety of deep learning architectures, deep learning libraries, and cloud-computing development environments, with an emphasis on ML techniques for studying small molecule drug development (particular attention paid to candidates with deep Graph Neural Network experience.
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Sitting at the intersection of quantitative and investment analysis, the professional will be a "hands-on" player/coach building a team of Data Scientists focused on the implementation of Data Science technologies, techniques and methodologies leveraging Artificial Intelligence (AI) and Machine Learning, advanced analytics, and statistical methods.
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3+ years of commercial experience preferred with a focus on deploying machine learning models. Machine Learning | Data Science | Computer Vision | Technology | Government | Radio | Artificial Intelligence | Deployment | Production | Startup | AI | MLOps | Machine Learning Operations | AWS | Python | Radio Frequency | Embedded Systems | Signal Processing | TensorRT.
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Five or more years of industry experience in data science with a focus on data analytics, machine learning, and deep learning. This role will spearhead advanced data science solutions, focusing on machine learning (ML), Large Language Models (LLMs) and computer vision applications to revolutionize the insured experience and optimize claims workflows.
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Strong understanding of machine learning concepts and techniques, with hands-on experience in deploying and utilizing machine learning models. As a Product Developer, you will play a crucial role in designing, developing, and implementing innovative products and solutions that leverage Python programming, machine learning techniques, and NVIDIA products.
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How you’ll make an impact: As a Staff 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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Major Duties/Responsibilities: Construct advanced machine learning models of core transport and pedestal properties for prediction of future tokamak experiments and comparison against other surrogate models trained on existing databases.
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hands on machine learning jobs Company: Xometry
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