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We’ve built one of the most experienced leadership teams in Fintech and were recently valued at over $25.5B. We’ve raised over $1.7B in funding from leading investors including Sequoia Capital Global Equities, SoftBank Vision Fund 2, General Atlantic, Tiger Global, Dragoneer, DST, Coatue, Iconiq, Menlo Ventures and others.
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You might have picked up proficiency in a few different languages (Java, Scala, Python or the others) and programming styles (functional, object-oriented, script/procedural or big data.
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Skills:SAP PPProduction SupportFull-lifecycle SAP implementationsSAP's Solution Manager, Master Data Management (MDM), and GRC toolsExperience with SAP's Solution Manager, Master Data Management (MDM), and GRC toolsManufacturing Industry experience.
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MBA preferredStrong project management and team management skills and ability to work with global teamsStrong SQL skills and excellent knowledge of visualization tools like TableauPython and SQL programming (Reporting)Knowledge of statistical and machine learning algorithmsExposure to cloud platforms and big data systems such as AWS, Hadoop HDFS, Hive is a plusFamiliarity with principles and tools for data governance and stewardship.
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Strong programming skills with experience across the spectrum of systems engineering, data engineering, DevOps, and/or data operations. Tackle novel challenges in blockchain, data science, and threat intelligence.
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We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more. Strong programming skills in Python with extensive experience with the scientific and deep-learning stack (numpy, pandas, numba, torch, tensorflow, jupyter.
$190,000 - $250,000 a yearFull-timeExpandUpdated 5 days ago - UpvoteDownvoteShare Job
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Senior Software Engineer/Architect - Operations Engineering Houston, Texas, United States We are a financial sciences company, combining data analysis, invention, and rigorous inquiry to help solve the toughest challenges in investment management, insurance technology, securities, private equity, and venture capital.
$200,000 - $600,000 a yearFull-timeExpandUpdated 6 days ago - UpvoteDownvoteShare Job
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Of Series D funding led by Bain Capital Ventures, partners of DST Global, Pomp Investments and Tiger Global. Strong programming skills in Python, Elixir or other high level languages. Design, build, and operate your platform components so that others can rely on your great ideas (common streaming architectures, data storage methods, proper processing environments.
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Own and lead the end-to-end machine learning experimentation process, including prioritization of projects, data strategy formulation, architectural design, and model training to drive innovative solutions and business impact.
$190,000 - $250,000 a yearFull-timeExpandUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience with cloud services (GCP, AWS, Azure) for training, data processing and/or model deployment. Lead the ML team in the technical aspects of core-product development including investigating, planning, executing, evaluating, and reporting on the entire MLOps pipeline from problem definition, data requirements, experimentation, productization, reporting, and monitoring.
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In addition, you'll collaborate with our clinical team to design data collection strategies and expand our clinically validated datasets. We are developing novel voice biomarker software to detect signs of depression and anxiety from short clips of free form speech.
$190,000 - $250,000 a yearFull-timeExpandUpdated 7 days ago - UpvoteDownvoteShare Job
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All speaking to our Elixir GraphQL API. We are data-driven and use metrics and logs to determine the impact and what parts need to scale first. Exposure or experience writing Elixir or other functional programming languages.
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Experience with experiment tracking and reproducibility tools (MLFlow, WandB, DataBricks, etc) As our client's Machine Learning Tech Lead, you will play a pivotal role in leading a group of talented researchers and engineers in the development of cutting-edge voice analysis models.
$190,000 - $250,000 a yearFull-timeExpandUpdated 7 days ago - UpvoteDownvoteShare Job
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Strategic and agile planner with an eye for MVP. Partner with Engineering and Product leadership serving as the technical authority on machine learning models and experiments, providing expertise and guidance on best practices, resource allocation, and strategic planning for the Machine Learning team.
$190,000 - $250,000 a yearFull-timeExpandUpdated 7 days ago - UpvoteDownvoteShare Job
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A proven track record of building end-to-end deep-learning models. Stay current with industry advancements by attending seminars, reviewing technical literature, and establishing thought leadership in voice biomarkers.
$190,000 - $250,000 a yearFull-timeExpandUpdated 7 days ago
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