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We are a growing subsidiary of a large public company that is hiring a talented Lead ML Engineer / Senior Machine Learning Engineer! 100% REMOTE Senior ML Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company.
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Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace, PyTorch, Tensorflow/Keras, MLlib, etc. 5+ years of practical experience in building, evaluating, scaling, and deploying machine learning pipelines with Python, preferably within the AWS ecosystem.
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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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Experience in assessing and implementing new data tools to enhance the machine learning stack. 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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A modern productivity toolset to get work done: Slack, Miro, Loom, Lucid, Google Docs, Atlassian and more! Adoption and Surrogacy Assistance Plan! Experience with orchestrating complex workflows and data pipelines using like Airflow or similar tools.
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Industrial/academic experience advancing the state-of-the-art machine learning-based research through demonstrable, verifiable technical results in their technical domain area (e.g., NLP, CV, etc.
$220,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Data Science, Engineering, Operations Research, or other quantitative field. Knowledge in domains such as recommender systems, fraud detection, personalization, and marketing science.
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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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100% REMOTE Senior ML Ops Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company! Senior Machine Learning Operations Engineer. 100% REMOTE Senior ML Ops Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company.
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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. Experience with developing data APIs, Microservices and event driven systems to integrate ML systems.
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Work from home / work remote 100%! 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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Eligible for donation matching to over 1.5 million nonprofit organization! Experience with architecting solutions on AWS or equivalent public cloud platforms. Experience with MLOps practices such as automated model deployment, model performance monitoring, data drift detection, etc.
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Machine Learning and AI, including regression, classification, clustering, time series analysis, NLP, and Optimization. Expert Java, Python, SQL and Advanced GCP (especially Gemini/Vertex AI.
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Expert knowledge of software and custom configurations to manage the end-to-end machine learning lifecycle (e.g., mlflow) and ability to stay current on new developments in rapidly evolving field.
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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.
$195,000 a yearFull-timeExpandUpdated 1 month ago
machine learning jobs Title: expert Company: Solaredge
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