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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.
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As our first Data Science hire focusing on Machine Learning at Circle, you'll start by focusing on two critical problems: helping identify transactions and actors who might be acting illicitly and helping us better balance our reserves across a series of accounts to reduce systemic risk inside the company.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture design.
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Minimum of 3 years’ experience related to new technology (Digital Thread / Twin, Robotic Process Automation, IoT, Machine Learning, Artificial Intelligence, Blockchain, etc.) Digital Factory Strategy – Industry 4.0, IoT platform, artificial intelligence, machine learning, prescriptive maintenance, connected devices, connected workers, blockchain, etc.
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Design, Develop and implement data science projects, including machine learning models, deep learning models, NLP solutions, statistical analysis, and data visualization. Strong knowledge of machine learning, deep learning, NLP, statistical analysis, and data visualization tools and technologies.
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LLM-Optimized MLOps Infrastructure: Design and implement MLOps infrastructure on AWS tailored for LLMs, leveraging services like SageMaker, EC2 (with GPU instances), S3, ECS/EKS, Lambda, and more.
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We're searching for a hands-on Machine Learning Engineer Manager – a senior engineer with people management experience, ideally comfortable leading a growing team of 5+. They're currently looking for a seasoned Machine Learning Engineering Director to lead a dynamic team of skilled ML Engineers.
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Applying data science methods (i.e., statistical modeling, machine learning techniques: regression, forecasting / predictive modeling, decision trees) to healthcare and Life Sciences business problems.
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Cleans kitchen equipment such as, carts, tables, counters, ice machine, buckets, blender, mixer, meat slicer, freezer, refrigerator, stove, steamer, garbage disposal, dish machine coffee/ tea maker, steam table etc.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Data Scientist/Machine Learning Engineer will have strong analytical skills and experience in using Posit and RStudio to join our team. Metas Solutions has an "immediate" opening for an experienced Data Scientist/Machine Learning Engineer to work Remotely.
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Responsibilities: · Responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization.
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This candidate should be proficient in using BI tools such as Tableau, in addition to experience with one or more modern technologies such as relational databases, AWS, Snowflake, Python, Databricks, Git, and Machine Learning.
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5+ years experience in AMAMR-related areas of machine computational/environmental perception including expertise with one or more SLAM algorithms, collision detection, computer vision, machine learning, and ground robotic software (ROS.
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Familiarity with advanced statistical and machine learning techniques such as clustering, gradient boosting machines (GBM), support vector machines (SVM), neural networks (e.g., ANN, RNN, CNN), and other deep learning algorithms is a plus.
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machine job Title: team member in Atlanta, CO, Us
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