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Hands-on experience in developing scalable data pipeline using technologies like Kafka, Databricks, Spark and Scala applying ETL and ELT concepts. 3+ years of hands-on experience in implementing data lake systems using AWS/Azure cloud technologies such as S3, Databricks, Hive.
$77,400 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Maintain an up-to-date understanding of data science topics in the music industry and their impact on our business, such as Streaming Fraud, Generative AI and LLMs. Skills / Requirements:Bachelor's degree in Computer Science, Mathematics, Engineering, or a related field; Master's degree preferred.
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Stay updated on the latest developments and trends in data science, machine learning, and GCP, and share knowledge and insights with the team. At least 2 years of experience in data science, machine learning, or a similar role.
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Spark, Nvidia Triton Server, Kubernetes, YuniKorn, Kueue, Helm, AWS, EKS, EC2, S3, VPC, NLB, Ingress, Java, Go, Python, Splunk, Grafana, Prometheus, distributed systems, cloud computing, machine learning, inference, data processing frameworks, automation, optimization.
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8+ years of experience in developing business applications for Machine Learning and Data Science workloads. As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications.
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Proven experience as a Data Scientist, with a focus on machine learning, LLM, and Deep Learning. Publications or contributions to the data science/machine learning community.
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Collaborate with data scientists, software engineers, domain experts, and client stakeholders to understand requirements, gather feedback, and integrate machine learning solutions into larger systems or products.
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As our first Data Science hire focusing on Machine Learning at Circle, you’ll start by focusing on two critical problems: helping identify transactions and actors who might be acting illicitly and helping us better balance our reserves across a series of accounts to reduce systemic risk inside the company.
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Minimum 3 years of hands-on experience implementing AI/ML solutions and platform tooling for Data Science. 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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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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2+ years of experience as a developer, data scientist or machine learning engineer. Hands on SQL/Presto/BigQuery/Redshift experience. 11+ years of experience spanning Engineering / Data Science / Technical Program Management leading cross-functional efforts in the software or tech industry in a data-driven environment.
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Deep expertise in data analytics, machine learning, and statistical modeling, with proficiency in tools such as Python, R, SQL, and data visualization platforms (e.g., Tableau, Power BI, Looker Studio.
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Ii) develop of machine learning and computational discovery methods for public health research. Experience in Bioinformatics or Data Science, including independent algorithm/software development and analysis of next-generation microbial sequencing data.
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Ideal candidates will possess: Familiarity with analyzing oncology clinical dataFamiliarity with DBT workflowsFamiliarity with creating and maintaining BI dashboards; Looker experience nice to haveFamiliarity with machine learning techniques, with an understanding of the strengths and limitations of various approachesProficiency in navigating large, complex problems within a fast-paced environment.
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hands on machine learning data science jobs Title: solutions architect in Laramie, Wyoming
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