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Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning.
$242,830 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelor’s degree in Computer Science, Data Engineering, Machine Learning, or a related field is required. Manage and build high-performance Data Engineering and Machine Learning Engineering teams, fostering a culture of innovation and excellence in a remote-first environment.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Assist in Problem Solving: Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions. NLP, LLM, Gen AI Model Deployment: Work closely with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Databricks Machine Learning Certificate Preferable. Our customer is seeking a dedicated and detail-oriented individual to join their team as an Azure Data Engineer, with hands-on experience with various Azure services including but not limited to Azure Data Factory, Databricks, Data Lake, and Power BI. They should be able to design build, and maintain ETL pipelines, manage data lakes and create insightful reports and visualizations.
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Strong foundation in data infrastructure tooling (e.g., Spark, Airflow, AWS, Databricks) and machine learning infrastructure. Oversee the development and maintenance of scalable data and machine learning infrastructure utilizing tools such as Spark, Airflow, AWS, and Databricks.
$210,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Konica Minolta is seeking a Data Engineering and Machine Learning Ops Manager to join our growing Data and Analytics team. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.
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Minimum of 5 years of technical experience and 3 years of experience specifically in data science and machine learning. Collaborate with cross-functional teams including data scientists and product managers to align machine learning solutions with business objectives.
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Data Engineers on the Disney Streaming Machine Learning and Innovation team develop and maintain systems and datasets that are used for Fraud/ATO/Bot Detection on Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. In this role you will partner with Applied Machine Learning Engineers and Data Scientists to help manage and scale processes to create algorithm input features and datasets.
$209,600 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Experience in Supervised and Unsupervised Machine Learning including classification, forecasting, anomaly detection, pattern recognition using variety of techniques such as decision trees, regressions, ensemble methods and boosting algorithms.
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This Senior Data Scientist, Machine Learning Engineer will leverage cloud computing technologies to develop, deploy, and manage predictive models that support decision-making processes across the Terumo organization.
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We are seeking an experienced Data Scientist - LLM (LLaMA) to be a contributor with a strong background in LLM and Generative AI. You will be responsible for developing advanced data science solutions, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Company’s products.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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2+ years of experience using advanced modeling techniques (including machine/deep learning, statistical, econometric, optimization, etc.) 2+ years of experience with data gathering and analysis tools (e.g., SAS, Python, SQL, BigQuery, Vertex AI, Business Objects, Alteryx) and visualization tools (e.g., Qlik Sense, Tableau, Power BI.
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We are seeking computational postdoctoral researchers with a strong background in machine learning and an interest in developing and applying quantitative methods to problems in translational cancer biology and cancer data science.
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Guardian is seeking an experienced individual contributor with a strong background in LLM and Generative AI. Your responsibilities will include developing advanced data science solutions, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products.
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You act as the key scientific and technical Artificial Intelligence expert for Clinical Data Sciences; defines and drives the data monitoring and management strategy and standards in the AI space, utilizing techniques such as RPA, Natural Language Processing, Machine Learning, genAI, etc., across all areas of Clinical Data Sciences (CDS) (including data management, Risk-Based Monitoring, Data Surveillance and standards.
$318,800 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago
machine job Title: data in New York, Anoka, Minnesota
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