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Proficiency in at least one of the following deep learning framework, tensorflow, pytorch Proficient in core technologies like Spark, Hadoop and Hive. Proficiency in at least one of the following programming languages, Python, scala, Java. 5 years experience in one or more of the areas: machine learning, deep learning, computer vision, NLP, recommendation algorithm, Computational Advertising, Anomaly detection.
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Familiarity with AI (Artificial Intelligence) subsets such as Machine Learning, Large Language Models (LLM) and Natural Language Processing (NLP). Familiarity with AI (Artificial Intelligence) subsets such as Machine Learning, Large Language Models (LLM) and Natural Language Processing (NLP.
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Net, PySpark, Python, SQL NoSQL, C#, and scripting languages (Linux or Powershell); 2 years of experience in Machine Learning projects, putting in production and maintaining with MLOps methodologies; 2 years of experience in natural language processing, neural network design, machine learning forecasting, audio and image processing, and applying machine learning to IoT projects incorporating knowledge graphs; and 2 years of experience with hands-on DevOps experience on Azure services.
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Using advanced artificial intelligence and machine-learning technologies, Cedars-Sinai Cancer Center researchers can create a computational model of the patient, known as the "Molecular Twin." Why work here.
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Databricks Certifications (ie: Data Engineer Associate; Data Engineer Professional, Machine Learning Associate, Machine Learning Professional) Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Python, and Matlab-Simulink and have developed software from architecture to production-level code in software, machine learning, and perception environments. Academic background in Applied Mathematics, Machine Learning, classical Computer vision, Image recognition, and Perception systems.
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We are seeking a highly motivated machine learning and AI Principal Scientist to join our Computational Tissue Imaging Research team in the Translational Bioinformatics organization. Strong coding skills in Python, and experience with machine-learning and deep learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch, etc.
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Using advanced artificial intelligence and machine-learning technologies, Cedars-Sinai. s practice incorporates both independent decision-making abilities and collaboration with the board certified/eligible physician to provide expert care to the patients.
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4+ years experience as an Machine Learning Engineer, Applied Scientist, or similar role. As a Senior Machine Learning Engineer, you will be responsible for developing ML solutions to increase the safety, efficiency and sustainability of the physical operations.
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Certificates earned in data mining, machine learning, deep learning, statistical modeling, cloud computing, and data engineering. Master's or Doctoral degree in Computer Science (with a focus on Data Mining, Machine Learning), Statistics, Econometrics, Operational Research, or other rigorous quantitative disciplines that require processing and modeling data at a complex and large scale.
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Berkeley Lab's (LBNL) Energy Geosciences Division (EGD) has an opening for a Postdoctoral Researcher in Machine Learning for Geological Carbon Storage to join the team. In this exciting role, you will join a vigorous team of geoscientist and ML researchers from leading US institutions developing next generation tools for geological carbon storage (GCS.
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O Cloud Managed SQL, Big data/data lakes, AI and Machine Learning, Azure Blobs, Office 365, Dynamic 365, Logic apps, Power apps, MS Flow, Power BI, Sharepoint. ¿ Expertise in Cloud design, architecture and development; Azure solution design, architecture and development, Microservices and App services, Cloud Managed SQL, Big data/data lakes, AI and Machine Learning, Azure Blobs, Office 365.
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Experience with Core ML, Swift, and iOS/macOS machine learning development is a plus. Senior Computer Vision & Machine Learning Engineer, Creativity Apps. As as Senior Computer Vision & Machine Learning Engineer, you will be working alongside our world-class creatives, designers, and engineers to help innovate in the creative space in ways that only Apple can.
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They are reducing the cost of building LLM. They are hiring a Founding Machine Learning engineer. Their model router comes out of NLP research and they raised $9M from the likes of General Catalyst (Stripe, Airbnb) and NEA (Databricks, Salesforce.
$150,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Emerging Technologies Group: Covers a wide range of work including Internet of Things (IoT) penetration testing, intelligent automation, artificial intelligence/machine learning and quantum computing.
$34 an hourFull-timeExpandApply NowActive JobUpdated Today
machine learning jobs Title: expert Company: Booz Allen Hamilton in Inglewood, CA
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