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JOB SUMMARY As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications within The Friedkin Group of companies. QUALIFICATIONS Bachelor’s degree in Computer Science, Computer Engineering, Information Technology or other relevant technical discipline 8 years of experience in developing business applications for Machine Learning and Data Science workloads.
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The FBA team is looking for a passionate, curious, and creative Principal Research Scientist with expertise in operations research, machine learning or statistics, along with a proven record of solving business problems through scalable modeling and analytical skills.
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You will deploy and deliver technical solutions at the intersection of computational chemistry and machine learning, supporting research directions in molecular design across broader gRED and Roche.
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Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure)Ability to interact at all levels of the client organization, build consensus and foster changeAbility to work independently, manage small engagements or parts of larger engagementsExperience with pre-sales, proposals and RFP activitiesSuperior critical thinking, analytical and problem-solving skillsWillingness to mentor and counsel junior staff.
$125,000 - $255,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. As a Manager, you will lead and deliver small engagements, or components of larger more complex engagements, that identify, design, and implement creative business and technology solutions for large companies.
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PhD in Computational Biology, Computational Bioengineering, Machine Learning, Statistics, Computer Science, Mathematics, or a related field. Significant experience and advanced knowledge of developing and applying algorithms in one or more of the following machine learning areas/tasks: deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning, ensemble methods, scalable online estimation, and probabilistic graphical models.
$159,324 - $245,544 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As Kraft Heinz continues to expand our digital footprint and adopt emerging technologies in our business, you will provide leadership working with various levels of global management in building/evaluating the global compliance program related to cyber, artificial intelligence, machine language, robotics, cloud computing.
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Must have 1 year of experience with analytics and big data technologies within Microsoft Azure, using tools such as Azure Data Factory, Azure Machine Learning, Azure Cognitive Services, Azure Databricks, or Azure Synapse Analytics.
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OneStream unleashes organizational value by unifying data management, financial close and consolidation, planning, reporting, analytics, and machine learning. Over time, the CSM is expected to understand their customers desired business outcomes and help the customer maximize the value they get from their investment in OneStream.
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When not working on machine learning models, Identify data; define metrics and analyze needs for business partners; Initiate, develop and maintain data pipelines and data models that powers dashboards and data products with outstanding craftsmanship.
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Helps team advance on plans for use of artificial intelligence, including Natural Language Processing, ChatGPT, predictive analytics, and leveraging machine learning to find hidden insights in data.
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Lead Machine Learning Engineer. Expert in SQL, capable in Python, and experience with Business Intelligence tools such as Looker, Mode Analytics or Tableau. 3+ years experience developing ETL workflows as a data analytics engineer, data engineer, or data analyst.
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The successful candidate has a scientific background in operations research, engineering or other STEM field and has expertise in one or more of the following areas: data science, data analytics, data engineering, data visualization, supply chain planning, statistics, machine learning, predictive modeling, decision analysis under uncertainty, artificial intelligence, Python and/or R, app development, and Tableau dashboard development.
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We empower the world’s leading B2C companies, including the biggest names in streaming media, to deliver exceptional digital experiences and optimize the “moments that matter” to their customers and their business.
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The Business Requirements Analyst (HR Job Title: Business Analyst) will also use effective communication, analytical, and problem-solving skills to help with the development process, and to make sure that project outputs meet the specifications.
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machine learning manager business analyst jobs Company: Deloitte
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