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Skills Required: Python Machine Learning Scala Apache Spark Reinforcement Learning AWS. About the Job: I am representing an innovative and rapidly growing company that is seeking a highly skilled Machine Learning Engineer.
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As a Lead, Machine Learning Engineer, you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals to implement machine learning models that will deliver stability, producibility, scalability and integration with other products and services.
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Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. Passion about continuously learning new technologies, frameworks, and services.
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Promote modern approaches in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Large Language Models (LLMs) within the computational and data ecosystem to advance researcher productivity and scientific discovery.
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Knowledge of data engineering tools, such as Apache NiFi, Apache Beam, or AWS Glue. Experience with cloud-based data warehousing solutions, such as Amazon Redshift, Google BigQuery, or Snowflake.
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VantAI is building a computational pipeline combining state-of-the-art physics-based modeling and machine learning to revolutionize drug discovery and development. You will work with a team of world-class machine learning engineers in an interdisciplinary, research-heavy position on a range of unsolved problems around representation learning of proteins, small molecules, biological networks and genomics.
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Implement and develop machine learning-based protein design solutions for structure prediction, paratope/epitope analysis, affinity maturation, developability assessment, scaffold optimization, library design, immunogenicity and other protein engineering challenges.
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Evaluate and implement technologies incorporating machine learning, artificial intelligence, and music recognition technologies to further SME's content protection strategies. Knowledgeable about machine learning, artificial intelligence, and music recognition technologies.
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Background in Artificial Intelligence (AI), Machine Learning (ML) Natural Language Processing (NLP) Sitting at the intersection of quantitative and investment analysis, the professional will be a "hands-on" player/coach building a team of Data Scientists focused on the implementation of Data Science technologies, techniques and methodologies leveraging Artificial Intelligence (AI) and Machine Learning, advanced analytics, and statistical methods.
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Expert level knowledge of Cloudera Hadoop components such as HDFS, Sentry, HBase, Kafka, Impala, SOLR, Hue, Spark, Hive, YARN, ZooKeeper and Postgres. Hadoop Admin Ops / SRE role supporting Platforms built around Big Data Technologies (Hadoop, Spark, Kafka, Impala, Hbase, Docker-Container, Ansible and many more.
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This Senior Data Scientist, Machine Learning Engineer will leverage cloud computing technologies to develop, deploy, and manage predictive models that support decision-making processes across the Terumo organization.
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Data Science | Machine Learning | Statistics | Mathematics | Biomechanics | Bioengineering | Athletics | Sports | Python | Artificial Intelligence | Computer Vision | Imaging | Images | Video | Stakeholder Management | Technical Leadership.
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A little about ADP: We are a global leader in HR technology, offering the latest AI and machine learning-enhanced payroll, tax, HR, benefits, and much more. Experience in Anti-Bribery/Anti-Corruption, Anti-Money Laundering, and Privacy compliance matters.
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Contemporary and innovative approach: Develop novel solutions using modern platforms (e.g., Cloud based platforms like Azure, AWS, GCP), languages/technologies (e.g., Python, Spark, SQL, DBT), Orchestration (ADF, Airflow, Dagster) and tools (e.g., Power BI), with an ability to build IP into reusable software.
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E.g. Alteryx, PowerBi, Tableau, Snaplogic and RPA technologies (UiPath, Automation Anywhere, PowerAutomate, etc), and machine learning/Artificial Intelligence. E.g. Alteryx, PowerBi, Tableau, Snaplogic and RPA technologies (UiPath, Automation Anywhere, PowerAutomate, etc), and machine learning/Artificial Intelligence.
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machine learning apache spark jobs Title: engineer machine learning in Newark, NJ
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