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Expert in Spark SQL, PySpark, (Python and/or R programming language) which includes experience in libraries such as Pandas, scikit-learn, R (tidyverse, glm, caret etc. 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.
$127,100 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$216,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Good understanding of machine learning, deep learning (including LLMs) and natural language processing and ability to optimize machine learning models to adapt to solving various kinds of issues.
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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Building and maintaining ETL pipelines with large data sets using services such as AWS Glue, EMR, Kinesis or Kafka, CloudWatch; Python development experience with proficiency in Spark or PySpark and in using API; AWS Services such as AWS Lambda, Event Bridge, Step functions, SNS, SQS, S3 and MI models; Knowledge of machine learning, deep learning AMIs and natural language processing (NLP) techniques.
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Agile Development, including Scrum and Kanban Methods, Communication, Complex Problem Solving, Data/BI/Analytics Tools (e.g., SQL, Tableau, Qlik, Business Objects, Python, R, etc.
$136,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience: A minimum of 3 years of hands-on experience in developing and deploying machine learning models, emphasizing Natural Language Processing (NLP) and voice-based conversational systems.
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What Additional Experience Makes A Strong Candidate: 4+ years of production experience with Scala 4+ years of production experience with Micro Services / Streaming Services Experience addressing ML problems, particularly in domains such as Time Series, Computer Vision (CV), Natural Language Processing (NLP), and data mining Proficiency with popular ML frameworks (Xgboost, TensorFlow, PyTorch, etc.
$275,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Research and Innovation: · Stay up to date with the latest advancements in the field of natural language processing and machine learning. Solid understanding of natural language processing techniques, including language modeling, text classification, sentiment analysis, and machine translation.
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Demonstrated experience designing and building scalable production software solutions and architectures, especially for machine learning or image processing. Staff Software Engineer (Data & Machine Learning Operations.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Define strategies and parameters for predictive models and data mining projects and ensuring data integrity and usability by using Support Vector Machines (Natural Language Processing), Neural Networks, and Distributed Computing.
$145,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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O Leader, coach, and mentor to R&D functions including assay development, software (development and test/QA), image analysis/machine learning, project management, systems engineering, systems integration, manufacturing and laboratory operations, and to develop the company’s focus on other forms of cancer.
$250Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with cloud services and platforms like AWS, GCP, or Azure for deploying and managing ML models, specifically using Azure Databricks, Azure Machine Learning Studio, Azure Data Factory.
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Distinct experience in advanced probability, statistics, machine learning, big data processing, analytics, and pipelining using Spark is essential, as well as experience in deep learning, generative AI, LLMs, and NLP. This role involves developing data science solutions, mentoring and imparting knowledge about machine learning and data concepts and techniques, as well as driving adoption of standards, processes, and tools to achieve high operational efficiency.
$242,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Regularly interact with the team to reinforce machine learning and data concepts, and guide them in the creation of product features with Generative AI, NLP, deep learning, and classical machine learning techniques.
$242,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago
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