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CirrusMD is seeking a Machine Learning Engineer to contribute to our mission of redefining the healthcare experience for patients and providers. Youll be responsible for delivering best-in-class data solutions leveraging a large dataset, contributing to the advancement of scaling Data Services, and enabling Machine Learning experiences.
$140,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We're looking for someone who has a passion for building scalable machine learning and MLOps platforms using technologies such as Python, Databricks, Spark, AWS, Airflow, Terraform, etc.
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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 1 month ago - UpvoteDownvoteShare Job
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Including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals.
$130,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience in mathematics (statistics, linear algebra, differential calculus); data visualization (Tableau, Power BI, Qlikview); programming (SQL, Python, R, Java); data analysis (feature engineering, data wrangling, EDA) and machine learning (classification, regression, reinforcement learning, deep learning, clustering, dimensionality reduction.
$113,200 - $205,500 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Software, Technology, Artificial Intelligence, Robotics, Machine Learning, Data Analytics, Education, Computer Software, Information Technology and Services, Natural Language Processing. Spekit is a just-in-time learning platform built for how we learn at work today.
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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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Experience in writing spark streaming jobs (producers/consumers) using Apache Kafka or AWS Kinesis is required · Should have knowledge in variety of data platforms such as Redshift, S3, Teradata, Hbase, MySQL/PostGres, MongoDB · Experience in AWS services such as EMR, Glue, S3, Athena, DynamoDB, IAM, Lambda, Cloud watch and Data pipeline · Must have used the technologies for deploying specific solutions in the area of Big Data and Machine learning.
$70 - $75 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The ideal engineer will have experience developing APIs, using NodeJS & TypeScript, and have experience with data engineering, anomaly detection, statistics, and machine learning ops. Experience in Data Engineering, Anomaly Detection, Statistics, and Machine Learning Ops.
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Knowledge of Machine Learning, Data Mining, Statistics, Applied Mathematics, or a related field. Under general direction, you will develop models using Machine Learning, Deep Learning, and other similar technologies to predict and analyze data on hardware and software systems within a large server infrastructure to prevent outages and pinpoint errors.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers.
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Deep understanding of deep learning architecture, machine learning, natural language processing (NLP), and generative models. Design and develop solutions that utilize generative AI, leveraging Machine Learning (ML) and Large Language Models (LLM), tailored to business needs.
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Js, node, typescript, Software development, data engineering, AI, ML, KubeFlow, Kubernetes, system engineering, api development, gcp, azure, python, Cloud, git. js, node, typescript, Software development, data engineering, AI, ML, KubeFlow, Kubernetes, system engineering, api development, gcp, azure.
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NLP, LLM, Gen AI Model Deployment: Work closely with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability. Assist in Problem Solving: Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions.
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Deep Learning and Machine Learning using frameworks, such as TensorFlow or PyTorch etc. Foster a culture of learning and innovation. AI/MLOps GPU accelerated solutions in cloud computing environments, such as AWS, GCP, Aure and OCI.Experience with virtualization and/or cluster management tools, such as Docker/Containers/ Kubernetes.
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machine learning jobs Company: Adobe in Denver, MN, Hawaii
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