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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
$147,500 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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WHAT YOU'LL DO Role Title: Global L&D Learning Innovation Senior Manager ( 1 open role ) Location: We can hire in the following office locations - Boston, Atlanta, London, and Munich ONLY The BCG Global Learning & Development Design Center has established an Innovation Center of Excellence (CoE) to enhance and modernize the learning experience for BCG employees globally and future-proof our learning function.
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Profound experience in data science, machine learning, and data engineering programming using python and higher-level libraries such as numpy, pandas, scipy, statsmodels, scikit-learn, TensorFlow, matplotlib, Plotly, or similar.
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Iris is Pluralsight’s learning intelligence platform, an innovative and unique user experience, whose aim is to use data to create a smarter, personalized learning journey. We are growing a team of people from multiple disciplines who love solving complex problems with data and are excited by the prospect of creating the brains behind Iris. As a Machine Learning Engineer, you will be responsible for building the infrastructure and implementing the algorithms that make Iris smart.
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Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities. Come join our Machine Learning Implementation Engineering team of creative technical experts who collaborate with customers to ensure their success with OfferFit.
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Design and implement deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data. As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
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In this role, you will collaborate with researchers to develop machine learning methods for computational biology and drive the implementation and testing of novel research ideas using cutting-edge deep learning techniques.
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Expertise in scientific programming languages (e.g., Python, R) and machine learning libraries (e.g., PyTorch, Tensorflow) We seek an enthusiastic and collaborative machine learning scientist with a focus on AI/ML methods to join our Small Molecule Drug Discovery team.
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We are seeking a highly motivated Machine Learning Engineer Co-Op from July 2024 to December 2024, focusing on Natural Language Processing (NLP) and Computer Vision applications. As a Machine Learning Engineer Co-Op, you will work closely with cross-functional teams, including Data Science, Software Engineering, and Product Management, to develop machine learning models, implement solutions, and ensure the successful deployment and maintenance of these models in production.
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FL97 is seeking a dedicated and skilled Machine Learning Engineer, Nucleic Acids to join our team. This role will focus on MLOps for training in large scale ML models of RNA and/or DNA. You will be part of a dynamic, cross-functional team responsible for developing and deploying machine learning models for sequence design.
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Build and lead the data science team translating small molecule and proteomic drug discovery challenges into breakthroughs via deep learning applied to computational chemistry. This position is ideal for someone with deep expertise in machine learning, deep learning (particularly for building biologically meaningful representations of chemical structures), and computational chemistry, sciences and who is committed to building a high-preforming team.
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Neural networks, especially deep learning models, are commonly employed for pattern detection and classification tasks. About us: Patterned Learning is a platform that aims to help developers code faster and more efficiently.
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Support existing HR applications including Oracle EBS HCM, iCIMS/Avature, Saba, Fuse Learning, SplashBI and functional groups which require monitoring, delegation, and the resolution of support tickets.
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Keywords: Cheminformatics, Computational Chemistry, Machine Learning, Artificial Intelligence, Computational Sciences, Drug Discovery, Pharmaceutical, Biotechnology, Boston, Cambridge, Massachusetts.
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Understanding of machine learning concepts and techniques, with a desire to further develop ML skills. Bonus if you have experience with Google Cloud Platform, TensorFlow, PyTorch, GCP Vertex AI, Hugging Face, LangChain, AWS Bedrock, PostgreSQL, MongoDB, MySQL, or BigQuery.
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learning job Title: registered nurse Company: Compunnel in Boston, MA
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