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This position will perform Software Application Developer duties that will involve the following technical areas: Microsoft Azure, Data Factory, Data Lakehouse on Databricks, Microsoft SQL Server, and Power BI reports.
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If you enjoy building, optimizing, deploying, and maintaining pipelines and infrastructure for machine learning/deep learning lifecycle from data collection/analytics to scalable deployment.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Familiar with algorithm development, SIGINT, digital communications or digital signal processing software. In this role, you will join a small, highly-focus team working to develop and maintain signal-processing applications for use in a real-time operational environment.
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Knowledge of reinforcement learning, deep learning, and natural language processing (NLP) techniques. Deploy machine learning models to cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure.
$183,400 - $266,050 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
$140,100 - $286,600 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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M.S. degree or higher in Computer Science, Software Engineering, Data Science, Machine Learning/Deep Learning, Math, Physics or any related field. 3+ year of industry experience in building large scale Machine Learning or Deep Learning models, carrying out the entire ML development lifecycle from POC to production release.
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Microsoft Power Platform expertise with experience in design, develop, secure, and manage solutions within the Power Platform ecosystem (PowerApps Model-driven/Canvas applications, Automate, and Power BI.
$52 an hourExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Requirements:Bachelor’s degree or graduate degree (MS/PhD) in Computer Science, Electrical Engineering, Data Science, Physics, or a related technical field involving AI/ML.Experience with AI models, neural networks, and deep learning.
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The Space and Geophysics Laboratory (SGL) develops multi-platform software suites for government customers for multiple applications, which include real-time data-intensive network operations, standalone remote field systems, and digital signal processing algorithms in both Linux and Windows environments.
$104,000 - $174,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics.
RemoteExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Data Analyst/AI/Machine learning Positions. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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As a full-stack data scientist, you will use your expertise across machine learning, software engineering, and business analytics to build end-to-end solutions that scale across our broad portfolio, embody CI/CD standard processes for continuous operations/improvements, and provide prescriptive actions to some of the most exciting problems in the mobile gaming space and beyond.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Python (XGBoost, H2O, Scikit Learn, Numpy, Pandas, NLTK, Stats models, Deep Learning), Natural Language Processing. PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 10+ years of industry or academic research experience.
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The LCRR Regional Lead will work closely with the Specialized Solutions group to apply dashboarding capabilities, advanced data analytics, and machine learning for predictive modeling of SL material identification but will not be responsible for development of these tools.
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