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Accountability, Accountability, Action Planning, Active Learning, Active Listening, Agile Methodology, Agile Scrum Development, Analytical Thinking, Bias, Coaching, Creativity, Critical Thinking, Cross-Functional Teamwork, Data Analysis Management, Data Collection Management, Data Controls, Design, Design Thinking, Empathy, Follow-Through, Growth Mindset, Intellectual Curiosity, Long Term Planning, Managing Ambiguity, Market Analysis {+ 5 more.
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Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.
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Our engineering teams build scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.
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Machine Learning Engineering - Dallas, TX (Hybrid) Experience with one or two of the following: MLOps, Deep Learning methods, NLP, computer vision, sentiment analysis, topic modeling and graph theory, and databases.
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As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Support personnel through coaching, counselling, learning opportunities, and career development.
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Optimize machine learning algorithms and infrastructure for performance, scalability, and cost-efficiency. Deploy machine learning models into production environments, ensuring scalability, reliability, and real-time performance.
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Foster a culture of high performance, continuous learning, and collaboration within the engineering team. Certified experts in deep learning & machine learning to provide intelligent solutions for your business.
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As a Machine Learning Engineering Intern, you will work with AAG and Bain’s consulting teams to provide high quality results and software products for our clients. The Advanced Analytics Group (AAG) is a team of experts in data science, machine learning (ML) engineering, Generative AI applications, and software engineering.
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Explore machine learning, AI technologies, cloud data platforms (e.g., DataBricks, Snowflake, Azure), and data modeling concepts. Credentials That Command Respect:Your degree (Computer Science, Data Science, Information Systems, Engineering, or related) is the foundation.
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We're seeking a Lead Software Engineer with a focus on Data Engineering, building, and maintaining data pipelines, building near real time operational data sources and real-time streaming data solutions to enhance our customer facing products while enabling predictive Machine Learning and AI solutions.
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HPE is seeking an Engineer Manager to join our AI Cloud team to lead and oversee our engineering efforts with third party colocation providers around the world. Coordinate and manage external MEP firm work and third party equipment engineering engagements.
$98,000 - $225,500 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Knowledge with technology application and infrastructure components such as Servers, Storage, Networking, Application Development, SDLC, End User Platforms, Digital Workflow, Artificial Intelligence & Machine Learning, Cloud technologies, Data Engineering, Mobile/Web, and Database Management systems.
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We offer a growth and learning culture which encourages and supports employee development through a wide variety of tools and resources such as the company Learning Management System, Middough Learning Center.
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The candidate should have subject matter expertise in designing and implementing machine learning pipelines including a deep understanding of core ML frameworks such as PyTorch, TensorFlow or Scikit-learn and 3rd party ML platforms from Palantir, Dataiku, DataRobot, Alteryx and other vendors.
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Your degree (Computer Science, Data Science, Information Systems, Engineering, or related) is the foundation. We are seeking a highly skilled Vice President of Data Architecture and Engineering to join our the Decision Intelligence (DI) team of our pharmaceutical services business unit.
$214,600 - $357,600 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago
learning job Title: engineering in Dallas, TX
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