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It also offers exciting opportunities that include but not limited to developing new algorithms for molecular data (genomics, transcriptomics, etc), medical image analysis (radiomics, pathomics), image-guidance and adaptation, generative AI, foundation models, federated machine learning, dynamic decision support, and computational modeling of treatment outcomes.
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Experience in mobile development, machine learning/artificial intelligence, and QA testing. Ability to work independently across multiple programming languages and a commitment to learning new technologies.
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The LCRR Regional Lead will work closely with the Specialized Solutions group to apply dashboarding capabilities, advanced data analytics, and machine learning for predictive modeling of SL material identification but will not be responsible for development of these tools.
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The VelocityEHS team includes unparalleled industry expertise, with more certified experts in health, safety, industrial hygiene, ergonomics, sustainability, the environment, AI, and machine learning than any EHS software provider.
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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, Google Cloud Platform, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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This individual will be responsible for defining high volume data processing pipelines in a multi-tenant environment, verifying data integrity and curating data for consumption by data warehouse, third-party data analytics tools and machine learning models.
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Demonstrable expertise in an area of data science or analytics (e.g. machine learning, deep learning, NLP, computer vision, predictive modeling and forecasting, statistics) Significant coursework or professional experience in machine learning, deep learning, NLP, computer vision, predictive modeling and forecasting, statistics, or similar analytic domain.
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Apache Spark AWS AI Services AWS S3 AWS SageMaker Azure Cognitive Services Azure DevOps Azure Machine Learning Dataiku GCP Vertex AI Vertex AI. Machine Learning Engineer responsibilities include creating machine learning models and retraining systems To do this job successfully you need exceptional skills in statistics and programming If you also have knowledge of data science and software engineering we’d like to meet you your goal will be to shape and build efficient self learning applications.
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The Director, Analytics Engineering is responsible for leading development, implementation, and operations of the company's Artificial Intelligence and Machine Learning program. Build Company's Analytics Engineering practice to support Artificial Intelligence, Machine Learning, and related advanced analytics initiatives.
$170,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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PhD in Bioinformatics, Data Science, Computational Biology, Machine Learning, Statistics/Biostatistics, or related fields. PhD in Bioinformatics, Data Science, Computational Biology, Machine Learning, Statistics/Biostatistics, or related fields.
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Knowledge of machine learning libraries (e.g., MLlib, TensorFlow) is a plus. Utilize Spark libraries (e.g., Spark SQL, MLlib) to perform data cleansing, transformation, feature engineering, and potentially machine learning tasks.
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Knowledge of Big Data, data science and statistical analysis skills, e.g. R, Python, machine learning, SAS. In this role, we are looking for frontrunners in cloud solutions for developing simplified quality solutions that will enable cutting-edge analytics capabilities ranging between dashboarding and deep learning.
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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.
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Experience working with at least one omics type (e.g., DNseq, RNseq, metabolomics, proteomics). Moffitt Cancer Center is the only NCI Designated Comprehensive Cancer Center in Tampa, Florida. We are hiring an Applied Bioinformatics Research Scientist to identify metabolic vulnerabilities in lung cancer for therapeutic targeting.
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Experience in leveraging cloud services or Cloud Certification (AWS Solution Architect, AWS Machine Learning, Google Data Engineering, Azure AI Engineer Associate) is a plus. A minimum of three years of developing data analytics, machine learning models (predictive models, classifications, cluster analysis, time series and forecasting, regularization, feature selection, NLP, computer vision, anomaly detection, etc.
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