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Job Description: Design and develop machine learning models to assist finance and product teams for improved quarterly spend forecasting Develop scalable and efficient data pipelines and processes for training, inferencing and model evaluation for high accuracy Collaborate with engineering teams, finance and product managers in an open, and creative environment.
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Experience also must include 1 year with each of the following: Developing and implementing machine learning models, including with linear regression, logistic regression, and Random Forest; Applying A/B testing methodologies; Employing clustering techniques for data analysis; and AWS Lambda and Azure Functions cloud services.
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Bachelors degree in a technical or quantitative field from an accredited college or university (masters or MBA degree preferred) with knowledge of topics such as statistics, econometrics, machine learning, operations research, decision science, and cloud computing.
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Experience in some of the following areas: Distributed Computing, Natural Language Processing, Machine Learning, Quantitative Finance, Data Mining, High-Performance Computing, or Time Series Analysis.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. 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.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Databricks Machine Learning Certificate Preferable. The candidate should have hands-on experience with various Azure services including but not limited to Azure Data Factory, Databricks, Data Lake, and Power BI.
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Experience in the data science and commercial application side of AI is of higher preference than working with machine or deep learning directly. Preference for data skew: knowledge of tools like Tableau, PowerBI, Looker, Python, or SQL is helpful, in addition to experience with traditional PM tools like JIRA, Confluence or Trello.
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Knowledge of machine learning and predictive modeling techniques is plus but not required. Experience with building data pipeline using SQL query and Python script. We’re currently searching for an experienced data analyst to help guide our organization into the future.
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Familiarity with data science libraries and tools such as scikit-learn, TensorFlow, or PyTorch for machine learning, and Jupyter Notebook or RStudio for data analysis. Building predictive models or machine learning models based on the data.
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Develop and implement advanced analytical models using statistical techniques, machine learning, and predictive analytics to support data-driven decision-making. Strong knowledge of statistical techniques, machine learning algorithms, and predictive analytics.
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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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Expert in Python, including some experience with machine learning libraries and frameworks such as sklearn, TensorFlow, PyTorch, or Keras. Identify areas that require improvements or additional functionalities and use your expertise in machine learning and software engineering to architect and develop solutions that fill gaps in ML platform and development ecosystem.
$80 an hourExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Our division focuses on gathering, enriching, and processing data for Machine Learning in different AI domains. We offer high-quality data for Human-Machine Interaction to some of the most prestigious technology companies in the world.
RemoteExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Develop innovative, scalable machine learning and data solutions through Azure Machine Learning Service. Bachelor's or Master's Degree in Computer Science, Engineering, AI, Machine Learning, or related field Proven experience as an AI Engineer or similar role with extensive knowledge in Azure AI Services and Azure DevOps.
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Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture.
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machine learning data jobs in Montvale, NJ
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