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As a Machine Learning Engineer, you'd be joining a talented and friendly team which loves to delight its customers with quality and robust code. Use off-the-shelf machine learning solution to provide simple initial solutions for fraud detection.
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Preferred: Proficiency in common machine learning programming languages such as Python, R, and Spark, and familiarity with various machine learning algorithms. Experience in building and deploying statistical machine-learning models, such as linear regression, logistic regression, GLM, GAM, etc.
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FinTech, CTO's, CEO's, VC, Artificial Intelligence, Machine Learning, NLP, DevOps, Blockchain, Staffing, Recruitment, Consulting, CIO's, Java, Golang, Ruby, Scala, Hadoop, Docker, Kubernetes, AWS, Cloud, CFO's, financial technology, and nodejs.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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More Full Time Jobs Junior Machine Learning Engineer Boston. We’ve raised >$23 million from Goodwater Capital, Album VC, F Prime (Fidelity), Y Combinator & some of the biggest investors in fintech, including Immad Akhund (CEO @ Mercury), Harry Hurst (Founder @ Pipe.com), Austen Allred (CEO @ Bloomtech), Deepak Chhugani (CEO @ Nuvo Cargo), Dan Romero (Coinbase), Elad Gil, Shrug Capital, Peterson Ventures, Jason Garcia (Head of Capital Markets @ Mercury), and many others.
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Experience in one or more of the following areas: machine learning, statistics, deep learning, reinforcement learning, experimentation, NLP, computer vision, recommendation system, and other data science domains.
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Create strategies and blueprints that use machine learning to improve operations and refine processes (procure-to-pay, order-to-cash, record-to-report) Youve worked with these FinTech solutions: Anaplan, Hyperion, BPC, OBIEE, Tableau, and Fusion.
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Oversee clients' digital transformations, help them simplify workflows and find new revenue streams (FinTech apps, blockchain technology, virtual and augmented reality) Oversee clients' digital transformations, help them simplify workflows and find new revenue streams (FinTech apps, blockchain technology, virtual and augmented reality.
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Deep understanding of machine learning, deep machine learning, artificial intelligence, and natural language processing. This is a full-time, permanent position with a hybrid work model based in New York. We are at the cutting edge of the technology industry, using advanced AI, deep machine learning, and natural language processing to revolutionize the financial sector.
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We are seeking an Actuary with a strong passion for risk management, extensive expertise in insurance pricing, and a deep understanding of FinTech products to join our EG InsurTech team. Design end-to-end actuarial processes to support the development and pricing of scalable InsurTech products with a focus on FinTech.
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If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an.
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We are looking for a hard-working and highly entrepreneurial data scientist / machine learning engineer to join our team and work with the co-founders to build and refine our initial machine learning model for automated credit issuance.
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Risk modeling, credit reporting, marketing data, identity protection, HR compliance, employment verification, ACA compliance, technology, fraud prevention, artificial intelligence, machine learning, financial literacy, blockchain, cloud-based platforms, big data, trended data, data mining, cybersecurity, financial services, fintech, data analytics, cloud, and talent solutions.
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Knowledge of machine learning algorithms & statistical techniques, their limitations & implementation challengesExperience with cloud platforms & distributed computing environments for NLP tasks, such as AWS, Google Cloud, or AzureExperience with software development best practices, including source control (Git), CI/CD pipelines, testing, & documentation.
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The Data Engineering team collaborates closely with product, data science and machine learning teams to design, build, and scale high leverage datasets that enable analytics, and experimentation.
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We have been recognized among Fast Company’s Most Innovative Companies, Forbes’ Fintech 50, and earned the No. 7 spot on Inc. 5000’s list of fastest-growing companies across the country. As the first consumer fintech to be granted a national bank charter in 2020, we make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead.
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