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7+ years experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks.
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Consult with business stakeholders to understand their needs and challenges, assess how AI techniques like machine learning, natural language processing etc. Bachelors or Masters degree in Computer Science, Machine Learning or related field.
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Principal Data Architect - Telecom, Media & Technology - Senior Manager - Consulting - Location OPEN
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EY delivers unparalleled tech consulting services in data strategy, business intelligence, digital, machine learning and Artificial Intelligence. Bachelor’s degree in Technology, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning and at least 8-10 years professional consulting experience in industry or in technology consulting.
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Are you a Junior Data Scientist with knowledge in geospatial or remote sensing, looking to work for an exciting start-up company who offer excellent hands on training and structured progression.
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Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
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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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2+ years of hands-on experience with hands on machine learning projects, a focus in Natural Language Processing is a plus. Experience with machine learning lifecycle management, from model development to production deployment.
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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.
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Key Responsibilities: Comprehensive Analytics Leadership: Develop and implement advanced predictive analytics and machine learning models to optimize supply chain performance, with a special emphasis on labor expense management.
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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 Yesterday - 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.
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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.
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Experience with Machine Learning, Conversational AI or Generative AI or Hyper Automation, as a Product Owner are required for consideration for this role. 3 to 5+ years' experience in Machine Learning, Conversational AI or Generative AI or Hyper Automation is key to this role.
$75,600 - $176,300 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Product leadership activities include defining/refining the vision and product strategy. Bachelor's degree in computer science / data science / information systems. Skills: Artificial Intelligence. This is a hybrid role requiring two days per week in any CGI office, and candidates must be willing to work Eastern Time Zone hours.
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