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What Additional Experience Makes A Strong Candidate: 4+ years of production experience with Scala 4+ years of production experience with Micro Services / Streaming Services Experience addressing ML problems, particularly in domains such as Time Series, Computer Vision (CV), Natural Language Processing (NLP), and data mining Proficiency with popular ML frameworks (Xgboost, TensorFlow, PyTorch, etc.
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Employ cutting edge Natural Language Processing (NLP) and Machine Learning (ML) techniques to solve complex natural language problems. Experience with multilingual LLMs and experience in handling multilingual data, as well as large scale data processing.
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The Machine Learning Engineer will be responsible for architectural design and planning, advanced data pipelines, model integration and optimization, scalability, performance and research and innovation supporting production AI systems.
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Drives the development and implementation of advanced machine learning models and algorithms to solve complex healthcare problems, leveraging techniques such as predictive modeling, deep learning, and natural language processing.
$124,372.5 - $247,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Role Overview As a Machine Learning Operations Data Engineer II you will develop platform tooling, deploy data science models to production and monitor production performance.
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Deep knowledge of data mining, machine learning, natural language processing, or information retrieval. "Experience in data engineer , Data Analytics; Big Data Technologies Expert in Python.
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The Vertex AI Machine Learning Engineer will be responsible for developing, deploying, and managing machine learning models using Google Cloud's Vertex AI platform. Google Cloud Professional Machine Learning Engineer certification.
$140,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Collaborate with data scientists and analysts to support machine learning initiatives and advanced analytics. You will be responsible for designing, developing, and maintaining scalable data pipelines, optimizing data flow, and enabling advanced analytics and machine learning initiatives.
$160,000 - $161,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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At least one of the following: GCP Professional Machine Learning Engineer, AWS Certified Machine Learning Engineer. The candidate should have subject matter expertise in designing and implementing machine learning pipelines including a deep understanding of core ML frameworks such as PyTorch, TensorFlow or Scikit-learn and 3rd party ML platforms from Palantir, Dataiku, DataRobot, Alteryx and other vendors.
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3+ Experience with Digital Signal Processing (DSP) data structures, algorithms, and software engineering principles. 3+ Experience in application of statistical and machine learning methods e.g., ANOVA, PCA, clustering methods, causal inference, time series forecasting, random forest, multi-variate analysis, neural networks, etc.
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In addition, the candidate should have a strong understanding and experience with the integrated machine learning environments provided in Azure, AWS and GCP, along with emerging experience with Generative AI ML technical architectures that include pre-trained LLM and diffusion models such as LLaMA, ChatGPT, Gemini, Stability AI and Claude as well as Vector Databases and orchestration tools such as LangChain.
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Research and Innovation: Stay up to date with the latest advancements in the field of natural language processing and machine learning. Hands-on experience in one or all the following areas: LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection/classification, tracking, etc.
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As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
$127,300 - $229,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Artificial intelligence and predictive analytics in health (i.e. Machine Learning, Large Language Models, Natural Language Processing ) DBMI has research and/or service programs in the following areas: Clinical informatics, clinical research informatics, biomedical data modeling and ontologies, biomedical natural language processing and information retrieval, medical artificial intelligence, privacy technology, global health informatics, equity in informatics, and translational bioinformatics.
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machine learning natural processing engineer data jobs Company: Veradigm
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