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The ML Research Scientist will also have a hands-on role and is expected to customize and create various machine learning algorithms to operate over multi-domain data and optimizing the performance of those algorithms on the data.
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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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Experience in assessing and implementing new data tools to enhance the machine learning stack. We are a growing subsidiary of a large public company that is hiring a talented Lead ML Engineer / Senior Machine Learning Engineer.
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100% REMOTE Senior ML Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company! Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace, PyTorch, Tensorflow/Keras, MLlib, etc.
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5+ years of practical experience in building, evaluating, scaling, and deploying machine learning pipelines with Python, preferably within the AWS ecosystem. Ability to design, train, and evaluate machine learning and AI models while adhering to best practices including model selection, validation, bias/variance tuning, performance assessment, sensitivity analysis, dimensionality reduction, etc.
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Familiarity with Snowflake, Monte Carlo, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Atlan, Data Observability tools and Data Governance tools.
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Experience with orchestrating complex workflows and data pipelines using like Airflow or similar tools. Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Data Science, Engineering, Operations Research, or other quantitative field.
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Experience with developing data APIs, Microservices and event driven systems to integrate ML systems. Experience with MLOps practices such as automated model deployment, model performance monitoring, data drift detection, etc.
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100% REMOTE Senior ML Ops Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company! Senior Machine Learning Operations Engineer. Knowledge of data mesh concepts.
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A modern productivity toolset to get work done: Slack, Miro, Loom, Lucid, Google Docs, Atlassian and more! Adoption and Surrogacy Assistance Plan! Knowledge in domains such as recommender systems, fraud detection, personalization, and marketing science.
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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
$178,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Experience with Git, CI/CD pipelines, Docker, Kubernetes. Experience with building batch and streaming pipelines using complex SQL, PySpark, Pandas, and similar frameworks. Work from home / work remote 100.
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Strong programming skills in Python and understanding of core computer science principles. We are a growing subsidiary of a large public company that is hiring a talented Senior MLOps Engineer / Lead ML Ops Engineer.
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Machine Learning and AI, including regression, classification, clustering, time series analysis, NLP, and Optimization. A minimum of 4+ years in the Data space as an analyst, engineer, scientist or equivalent.
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machine learning jobs Title: sr data scientist Company: Unitedhealth Group
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