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We are looking for a Machine Learning Engineer who can bring bleeding edge machine learning and optimization models into production together with a highly multi-disciplinary team of data scientist, software development engineers, strategic partners, product managers and subject domain experts.
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The Role As a Machine Learning Engineer you will research, develop, and support the machine learning models that allow our devices to decode evidence like a detective and define how non-violent crime is eliminated.
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Position Summary & Key Areas Of Responsibility We are seeking an accomplished Software Engineer IV to lead in the development of new features for, and support of, our Payment Transaction Processing Gateway product.
ExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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DynaCHIP is an advanced microfluidics platform that provides real-time, flow-through sample prep, and DynaMARK is a machine learning software module that provides on-demand advanced bioanalytics.
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Algorithm Development, Artificial Intelligence, Embedded Systems, Electronic Warfare, Image Processing, Machine Learning, Military Vehicles, Modeling/Simulation, Robotics/Automated Systems, System Engineering, Testing, Aerospace, Sensors/Optics, Autonomous Systems, Data Analytics/Science, ISR & Tactical Systems, Threat Systems.
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Deep understanding and knowledge of data structures and software engineering principles. As an ML Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data.
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Additionally, the Avionics Engineer analyzes laboratory and flight test data for functionality and performance. Tools and methodologies used by the Avionics Engineer includes Model Based System Engineering, laboratory analysis hardware, software development environments, and Agile methodologies.
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Our team specializes in a range of data analytics and science services, including data visualization, predictive analytics, machine learning, artificial intelligence, and robotic process automation.
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Build and fine-tune deep learning and machine learning models, with an emphasis on large language models. Minimum of 3 years of experience working with deep learning models using real-life (“industry”) data.
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Pilot a new tool (either something you helped build in SQL, Python, Go, or other languages, or a modern data stack tool from an open-source project or a third-party vendor) to help improve the automation and reliability of our data processing infrastructure.
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Experience implementing Data Storage services at scale with one or more of the following databases: MySQL, TiDB, DynamoDB, Amazon RDS, Elasticsearch. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services.
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Develop internal APM product utilizing the latest anomaly detection machine-learning algorithms for predicting machine failures. Work with plant engineers located globally to solve business challenges related to forecasting the breakdown of the machines using sensor data analysis techniques such as Vibration Analysis, Motor Circuit Analysis, Oil Analysis, and Infrared Thermography.
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Interact with representatives of other industrial and government groups to understand and/or recommend data interchange formats, APIs, messaging strategies, application server software, as well as hardware and virtual machine requirements.
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Knowledgeable in Machine Learning, AI, NLP, and data flow for model training. Proficient in Data engineering responsibilities like data ingestion, modeling, transforming, processing, security, and governance.
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Android Development, iOS Development, Data Science, Cyber Security, Big Data, Exchange Services, Career Development, Data Engineering, Managed Services, Consulting Services, Business Development, and IT Resources.
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machine learning software engineer data processing jobs in Atlanta, GA
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