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We're looking for an experienced Machine Learning Engineer to help us build the next generation of products which will go beyond just ID and enable our members to leverage the power of a networked digital identity.
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Engineer solutions using natural language processing and machine learning techniques to solve critical problems and improve processes for clients across capital markets and financial services businesses, including trade surveillance, electronic communications surveillance, payments fraud detection, third-party risk management and other operational risk categories.
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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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Bachelor s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three (3) years of experience as a Senior Software Engineer/Developer (or closely related occupation) performing automation design and development for User Interface (UI), Web Services Automation, and ETL in AWS cloud environment and for report validations.
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As an experienced Full Stack Software Engineer you will help build our flagship Clear Street Studio, a modern prime brokerage experience. This role is deeply involved with engineering the next generation of our state of the art Studio (portal) for our varied client base including hedge funds, traders and portfolio managers.
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Professional experience in areas highly related to our work as product managers at Duolingo, such as software engineering, design, data analysis or language learning. Be responsible for building features that make learning on Duolingo more fun, like the streak, leaderboard, achievements, and new ones you'll invent.
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As a machine learning engineer on our CTS team, you will contribute to the firm’s objectives by designing, implementing and deploying tools and solutions for a broad range of business objectives, such as asset pricing, demand forecasting, sentiment analysis, and other machine-learning techniques for pattern recognition and statistical modeling.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Pre-Sales Engineer at Gradle, you will be on the front lines, working closely with our customers, prospects, and partners, guiding them on how to optimize the productivity of their engineering organization by improving the software build and testing processes.
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Functional knowledge related to some of the following: modeling knowledge of financial risks and derivative products (e.g., equity, FX, commodities, credit and interest rates), risk management, model development, model validation, advanced analytics (e.g., machine learning techniques.
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Engineering the first high-density pixel canvas to display HD content at that scale for the Vornado, Marriott Marquis LED Display in Times Square, NY. Exceptional time management skills and ability to meet deadlinesExcellent communication skillsExcellent technical writing skills including grammar, spelling, and formatting preferredExperience with Performance Venue Systems, familiar with digital mixing consoles, video switchers, cameras and lighting systemsExperience with Broadcasting Systems like are found in news, houses of worship, distance learning, etc.
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BS / MS in Engineering Field: Mechanical Engineer, Hydraulic Engineer, Chemical Engineer, Mechatronics Engineer. The Senior Hydraulic / Mechanical Engineer will be responsible for project management, design and application of fluid power and/or lubricant systems, controls, parts and products.
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Keep up with the latest advancements in machine learning and computational biology, introducing innovative approaches to the team and the scientific community. PhD in Computer Science, Machine Learning, or a closely related discipline.
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New York City (Hybrid On-Site): $274,800 - $313,600 for Director, Software Engineering. Director, Software Engineering- Risk Technology. 9+ years experience in Software Engineering or Data Engineering as an individual contributor.
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This may include research, new development, prototyping, modification, reuse, re-engineering, maintenance, or any other activities related to software products used internally or externally on product platforms supported by the firm.
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As a Precision employee, you will be collaborating with experts across a diverse array of fields-including neurosurgery, mechanical engineering, machine learning, and microfabrication-to push the boundaries of what is possible.
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machine learning software engineer engineering jobs Title: development engineer Company: Muthootfincorpone in Newark, NJ
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