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Position :- Machine Learning Engineer. Creating large-scale data processing pipelines and build & train Client machine learning algorithms with tools like Python. Hands on experience with Data Science tools and technologies on AWS with Python.
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Job Description Leidos’ Civilian Health Solutions Operation is seeking a dynamic, mission-centric hands-on Sr Data Modeler/ Engineer to support a federal agency’s large, mission-critical enterprise environment.
$122,200 - $220,900 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Hands-on and theoretical knowledge of various Machine Learning algorithms and tools, e.g. xgboost/LightGBM, Random Forests, SVMs, PCA, t-sne, kmeans, DBSCAN, etc. Minimum of 1 year of relevant industry experience (as a Data Scientist, Research Scientist, Machine Learning Engineer, etc.
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Infosys is seeking a Data Scientist / Data Science Lead with strong background in designing and building machine learning models / algorithms to implement predictive & prescriptive analytical solutions in areas such as customer loyalty, personalization and recommendations, customer segmentation and profiling, Sales Calls, E-mail and Direct mail targeting, retention analysis, churn assessment etc.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Hands-on experience with machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch). The Data Scientist will work with a multi-disciplinary team to develop high-priority Machine Learning-enabled product features that improve the lives of our customers.
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You have hands on S/4HANA and/or S/4HANA Cloud experience including use case of standard Fiori applications. Knowledge of IOT, Machine Learning and Big Data. Reply specializes in the design and implementation of solutions based on new communication channels and digital media.
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4+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian, Reinforcement or Deep Learning. Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
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Prior background and hands on experience in data science, machine learning, generative AI is preferable. Evaluate the financial aspects of project, such as budgets, expenditures, research and development appropriations, or return-on-investment and profit-loss projections.
$77,200 - $180,200 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Hands-on experience with AWS Glue DataBrew or similar data engineering tools for data preparation and transformation. Knowledge of machine learning concepts and techniques for predictive analytics.
$130,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience with Azure Cognitive Services, including natural language processing, GPT, and other AI capabilities. This role requires a proficiency in Azure Cognitive Services, graph databases, vector databases, retrieval augmented bots, and an understanding of large language models and machine learning concepts.
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In this role you will be hands-on coaching your team of engineers through the full development life cycle including proof of concept, architecture design, data engineering, software development/coding, and deployment.
RemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Hands-On Expertise: Dive into machine learning and data science projects. Tech-Savvy: Demonstrate knowledge of cloud technologies and machine learning. Hands-On Expertise: Dive into machine learning and data science projects.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Prior background and hands on experience in data science, machine learning, generative AI is a prerequisite. Evaluate the financial aspects of product development, such as budgets, expenditures, research and development appropriations, or return-on-investment and profit-loss projections.
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Collaborate with the product owners and development teams to provide direction and priority on product epics and features to build a strong product foundation. Compensation decisions are dependent on the facts and circumstances of each case.
$110,000 - $256,600 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Advanced knowledge of cybersecurity architecture, applications, and technical processes with considerable, in-depth knowledge in one or more technical disciplines (e.g., public cloud, artificial intelligence, machine learning, mobile, etc.
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