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As a Machine Learning Engineer, you will collaborate with data scientists, product managers, and data engineers to operationalize machine learning models in production and manage the lifecycle of artificial intelligence algorithms on a variety of domains.
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Past experience with Data mining, database, functional analysis, machine learning algorithm, dashboarding and data visualization is desirable. Work hands-on with R&B Scientists & technicians in specific sites to upgrade current data operations and practices to build impactful ways of working.
$51.72 - $57.72 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Bachelor's degree or higher in machine learning, data science, statistics, computer science, economics, mathematics, information systems, or similar field preferred. Experience using tools such as Azure's Machine Learning and Cognitive Services; AWS's SageMaker, Polly and Rekognition; DataRobot; or H2O.ai.
$200,000 - $250,000 a yearFull-timeWork from homeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Leverage latest visualization and analytical tools & techniques (Excel, SQL, Tableau/Qlikview, and others) to derive and display data insights for Axtria’s clients. Since our founding in 2010, technology innovation has been our winning differentiation, and we continue to leapfrog competition with platforms that deploy Artificial Intelligence and Machine Learning.
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Knowledge of the principles of machine learning, classification models, time series regression and stochastic statistics to deliver improved business performance. Demonstrated experience with SAS, SQL and one other programming language (Python, R etc) and ability to adapt to various programming languages and environments.
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Or Python, SQL. Organize appropriate data collection and raw data processing methods at various users/experimental read outs across R&B teams leading to harmonized data management and utilization.
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Prior experience creating and maintaining machine learning modeling infrastructure to enable data scientists. You will work closely with product managers, business stakeholders, data scientists and other software engineers to design, develop, and implement cutting-edge machine learning models that are properly trained, validated, and optimized for performance.
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Experience with machine learning and AI; reputation as a thought leader in the data science/machine learning/Artificial Intelligence community a plus. Hands on expertise with data management tools and methods: fluent in Python, R, and T-SQL.
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Experience leading product teams that leverage a similar tech stack to us would be a big plus: Apache Spark Column-oriented SQL data warehouses such as Snowflake or Redshift Workflow orchestration tools such as Apache Airflow Machine learning frameworks ETL tools such as Pentaho or AWS Data Pipelines AWS devops tools and techniques.
Full-timeExpandApply NowActive JobUpdated 5 months ago - UpvoteDownvoteShare Job
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Alivia Analytics is seeking a technically adept Data Scientist with a strong foundation in SQL, Python, and machine learning to join our rapidly expanding team focused on combating healthcare fraud.
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Req Skills: Data Scientist that has Customer Segmentation (Marketing), Python, SQL, AWS, Tableau, Machine Learning. Req Skills: Data Scientist that has Customer Segmentation (Marketing), Python, SQL, AWS, Tableau, Machine Learning.
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Domain expertise in applying Machine Learning to Healthcare, Finance, or Supply Chain. Previous experience working with Ray and other distributed computing frameworks for Machine Learning workloads.
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By leveraging massive amounts of data, advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to help customers spend less and travel better.
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You will be impacting every aspect of the business and it will require various techniques, from diving deep into data with SQL and Big Data tools, all the way to deploying modern machine learning models.
Full-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Exposure to big data, AI, and machine learning. Proficiency in Java, Spring Boot, Hibernate, REST, Microservices, SQL, and AWS. Harnessing a sophisticated AI platform, we transform clinical data into clear, actionable insights for patient care and financial operations.
$150Full-timeExpandApply NowActive JobUpdated 1 month ago
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