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Currently, we are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers for full-time positions with clients.
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Experience may be gained concurrently and must include one (1) year in each of the following:-Building statistical models and machine learning models using large datasets from multiple resources-Working with Customer, Content, or Product data modeling and extraction-Using database technologies such as SQL or ETL-Applying specialized modelling software including Python, R, SAS, MATLAB, or Stata.
$178,400 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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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Preferred Skills: NLP, Text mining, Tableau, PowerBI, Databricks, TensorFlow. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. Gartner Data Analytics Summit Video 2023.
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Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Data Science, Engineering, Operations Research, or other quantitative field. 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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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. Experience with developing data APIs, Microservices and event driven systems to integrate ML systems.
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We are a growing subsidiary of a large public company that is hiring a talented Senior Machine Learning Engineer! Experience with MLOps practices such as automated model deployment, model performance monitoring, data drift detection, etc.
$205,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of data mesh concepts. 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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The candidate should have subject matter expertise in designing and implementing machine learning pipelines including a deep understanding of core ML frameworks such as PyTorch, TensorFlow or Scikit-learn and 3rd party ML platforms from Palantir, Dataiku, DataRobot, Alteryx and other vendors.
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Aid in the design and implementation of machine learning, data mining, data fusion, and data engineering techniques applied to cyber microelectronics security problems.
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Solving business problems using data analysis/mining and machine learning techniques. As a Data Scientist & Machine Learning Engineer, you will work closely with cross-functional teams and other Hitachi group companies to develop and implement data-driven solutions that drive strategic decision-making and deliver large-scale digital transformation for our clients.
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Swayable is seeking a Senior Engineer blending Python software development expertise with scientific computing, machine learning, and AI experience to advance the state of the art analytics engine that powers our core product.
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machine learning data mining software engineering jobs Company: Sheetz
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