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Hands on experience with the internals of deep learning frameworks (e.g. PyTorch, TensorFlow) and GenAI models (e.g. GPT, StableDiffusion) Founded in late 2020 by a small group of machine learning engineers and researchers, MosaicML enables companies to securely fine-tune, train and deploy custom AI models on their own data, for maximum security and control.
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Knowledge of machine learning and AI methods and proficiency with scripting and executing data analytics algorithms and models with hands-on experience using a modeling and simulation software (e.g. Python, MATLAB, R, NONMEM, SAS, S-Plus, etc) is a must.
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Extensive knowledge in machine learning and hands-on experience in developing and implementing deep learning algorithms and generative models like VAEs, GANs, autoregressive models and transformers.
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Qualifications The ideal candidate is an experienced and hands-on expert in the areas of NLP, NLU/Conversational AI and Machine Learning with extensive experience in fine-tuning pre-trained transformer based models like GTP-3 and BERT. We envision our InsightAI product being so successful that it will likely spin out to another company, and a handful of VC have already shown interest.
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Senior Machine Learning Engineer w/Spotify USA, Inc. in NY, NY. Design, build, eval, & refine company's tools by hands-on Machine Learning (ML) dvlpmnt. Must have 3 yrs of exp w/: machine learning, math modeling, & stats; implementing productn machine learning systems at scale in Python; data modeling; TensorFlow/Keras & Scikit-Learn; SQL; Big Data platfrms such as BigQuery, Redshift, Hive/Hadoop, or Snowflake; & cloud platfoms such as GCP, AWS, or Azure.
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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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Good understanding of Machine Learning and Deep Learning technologies and experience using one or more deep learning frameworks (e.g., PyTorch, JAX, TensorFlow. Hands-on experience with object oriented design, development, testing, maintenance, and performance optimization of HPC software using C.
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2+ years hands-on experience applying machine learning and ML framework (TensorFlow, PyTorch, etc.) We are passionate about incorporating the latest technologies in computer vision, image processing, computational photography, machine learning and artificial intelligence into todays most advanced products: smartphones, tablets, PCs, and greatly improve the consumer experiences.
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Strong proficiency and recent hands-on experience in Python, standard data science libraries (numpy, pandas), and one or more ML libraries (PyTorch, Tensorflow, Keras, scikit-learn, Huggingface, Weights & Biases, Tensorboard, etc.
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The Principal NLP Research Scientist will also have a hands-on roll and is expected to customize and create various machine learning algorithms to operate over multi-domain data and optimizing the performance of those algorithms on the data.
$122,200 - $220,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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3+ years of hands-on experience with Artificial Intelligence (AI) such as reinforcement learning, or optimization algorithms Preferred qualifications, capabilities, and skills: PhD in Economics Experience developing advanced forecasting, AI, or ML models in consumer finance, financial services, tech, or a major retailer AWS Certified Machine Learning or Microsoft Certified: Azure AI Fundamentals preferred Expertise in at least one programming language, with Python preferred.
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Experience with applied machine learning (tree-based methods, ensemble methods, neural networks/deep learning)Proficient understanding of relational (e.g. Oracle, SQL Server, PostgreSQL) and Big Data distributed structures (Hadoop/Spark) in order to source data effectively.
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Experience should also include a focus on modern e-commerce architectures interfaces that leverage cloud, AI, Machine learning, REACT, application frameworks, Proficiency with Datawarehouse, relational databases and NoSQL is necessary etc.
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Prototypes and do proof of concepts (PoC) in one or all the following areas: · LLM, NLP, DL (Deep Learning), Client (Machine Learning), object detection/classification, tracking, etc.
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Stay updated on emerging technologies and industry trends related to real-time data processing, algorithms, machine learning, geospatial analysis, and cloud computing. Proficient in image processing, algorithm and machine learning libraries (SciPy, Pytorch, Tensorflow, Scikit-Image, Scikit-Learn, OpenCV.
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hands on machine learning jobs in United-states, District Of Columbia
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