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Experience working with machine learning frameworks (e.g. scikit-learn, XGBoost, PyTorch, TensorFlow) and distributed big-data tools (e.g. Spark) is a plus. 2+ years of professional experience as a MLOps Engineer, Data Engineer, or equivalent role, focusing on machine learning and/or ML infrastructure.
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SpaCy, NLP, NLU, Information Extraction, Prodigy, Python, Tensorflow, Keras, Transformer, Healthcare, Clinical Data, EHR, Radiology, Machine Learning, SQL, Unix Shell. You will be a part of a small team, building Natural Language Processing / Understanding and Machine Learning models.
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Thousands of enterprises including Cisco, DocuSign, Pacific Life, Slack, and TUI trust Matillion technology to load, transform, sync, and orchestrate their data for a wide range of use cases from insights and operational analytics, to data science, machine learning, and AI.
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Candidates are being sought in the areas of applied communication systems and signal processing, autonomous systems, quantum computing, circuit design, and applications of machine learning.
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Experience with Python programming language · Involved with setting up the data pipeline, machine learning framework—from data discovery to model deployment—in a big data environment.
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Experience delivering solutions and insights on the Microsoft Azure platform with exposure to Azure Databricks, Azure Synapse, Azure Data Factory, PostgreSQL, Azure SQL DB, Power BI or Azure ADLS Gen2.
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Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types.
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DESIRED QUALIFICATIONS & SKILLS: Shall be trained and have the ability to use and maintain an autorefractor, phoropter, auto and manual keratometer, tonopen, Humphrey and Goldman visual field machine, corneal topographer, scan machine, pachymeter, specular microscope, ophthalmic photography equipment, slit lamp, potential acuity meter, brightness acuity test, color vision plates, stereo vision test, and personnel computers.
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4+ years of experience in a technical sales or consulting capacity with enterprises, focusing on complex solution sales of mission-critical data systems (databases, data warehouses, big data systems, analytics, and/or machine learning.
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Previous food manufacturing and/or Machine Operator experience preferred. Typical duties involve receiving shipments, reviewing all merchandise, staging loading, and unloading areas, overseeing relevant data systems, and accurately filling out paperwork.
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20%) Collect and enter data points into the trauma registry to support the trauma programs performance improvement activities. Collects trauma data for injury research and prevention as well as quality improvement tracking and assures accuracy and confidentiality in the handling of all Trauma registry related matters and is concerned with and active in the improvement of trauma Registry Program within the facility.
$31.34 - $47.01 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In addition to partnering with customer technical and functional teams, the Senior Data Integration Consultant also works closely with internal teams from pre-sales to ensure proper hand-off, product engineering and management to provide product feedback, and Customer Success to ensure a successful customer experience post deployment.
$87,000 - $148,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficient computer knowledge including Trimble Business Center modeling software and GPS machine control equipment, Microstation (or similar modeling package (Geopak, Civil 3D) and Microsoft Suite is preferred.
$94,563 - $141,845Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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Assist the classroom teacher in arranging the learning environment, including assembling and putting materials on bulletin boards and/or other classroom learning displays and in keeping such displays current.
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