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SpotHero is seeking a Senior Machine Learning Engineer to join the Data Science squad. Bachelor’s degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field with 6+ years of professional experience in data science/machine learning.
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Full Time] Senior Software Engineer - Data Platform at TRM Labs (United States) | BEAMSTART Jobs Senior Software Engineer - Data Platform TRM Labs United States.
$50,000 - $130,000 a yearInternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Software Engineering & DevOps: Version Control: Familiarity with tools like Git. Continuous Integration/Continuous Deployment: Knowledge of pipelines and tools like Jenkins, Travis CI. Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
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5+ years working experience with key open source big-data projects as a contributor or committer including Apache Spark, Apache Flink, Trino, Apache Kafka, Apache Hive, Apache Arrow, Apache Hadoop, Delta Lake, Apache Iceberg.
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Transform your career to the next level with GDIT as a Solutions Architect where you can elevate your skills in Data Science, Machine Learning, or leading AI techniques and technology expertise into solutions in support of our Government customers.
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The Department of Homeland Security (DHS) is recruiting professionals to support a range of leadership roles in Data Science, including Data Science Manager, Data Engineer Team Lead, FISMA Support Metric Lead, Data Modeler, Data Security Officer and Operations Research Chief.
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Experience as a Machine Learning engineer building feature engineering pipelines, deploying AI models, and optimizing model inference. Working with security, data, and AI pipeline technologies (RDS/Postgres, Snowflake, Airflow) and infrastructure as Code (Terraform, Python, Ansible, CFT.
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Experience with data-intensive applications, big data pipelines and analytics, having used tools such as Snowflake, DataBricks, Amplitude and Looker. Tonal’s engineering job track features five levels (Engineer, Senior Engineer, Staff Engineer, Senior Staff Engineer, and Principal Engineer) with competitive pay opportunities offered at each level.
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A highly motivated individual, the Senior Principal Scientist will focus on strategic development and implementation of novel data science and predictive analytics methodologies to support clinical drug development.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch.
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Masters degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area; PhD degree preferred. Design, prototype, implement, evaluate, optimize and monitor machine learning algorithms and related software systems to generate sports datasets and predictions with high accuracy and low latency.
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A world-class, tight-knit team of good-hearted people across software, machine learning, computational chemistry, medicinal chemistry, and biology. Genesis Therapeutics is building a world-class software team to solve problems in drug discovery through machine learning, biophysical simulation, and computational chemistry.
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As a Senior Software Engineer, Backend you will be responsible for building, developing, and guiding high-performing talent for the Core Services engineering team. Master's degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 1 year's experience in software engineering or related area., We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
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The thermal engineer troubleshoots thermal and/or airflow issues in new and existing product lines using empirical data and commercial CFD software. The Sr. Thermal engineer plays an active role in developing thermal components using 3D CAD software and advanced engineering analysis.
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