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We specialize in Computer Network Operations (CNO), embedded development, software engineering, cloud engineering, Artificial Intelligence and Machine Learning (AI/ML), DevOps support, systems engineering and more.
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FM Global is seeking a Machine Learning Operations Data Engineer II to join our AI/ML team to support Machine Learning Engineering, working very closely with Data Science, Data Engineering, Subject Matter Experts and Solution Architecture teams.
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Bachelor, Master or Doctorate of Science degree from an accredited course of study, in engineering, environmental science, health and safety, industrial hygiene, chemistry, geology, or other science or engineering related degree.
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Collaborate closely with other engineering guilds to integrate machine learning components into larger software systems and develop end-to-end solutions. Leverage data science frameworks like TensorFlow, PyTorch, and Spark ML to build robust and scalable machine learning solutions.
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The specific areas of interest are not restricted and may include expertise in: artificial intelligence (including machine learning and neural networks), computer vision, predictive modeling, electronic health records, big data analytics, digital health and wearable devices, health informatics and clinical research informatics.
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Enhance/Develop/Sustain current decision support tools or replacements along with internal and external portals using data/ tools such as Army VANTAGE, ADVANA, Microsoft Power Automate, data visualization tools (Tableau, Qlik, PowerBI), Python with data libraries of (PySpark, Pandas, NumPy), Structured Query Language (SQL), Statistical Analysis System (SAS), Oracle, Microsoft Azure, Microsoft Suite of products, machine learning methods, and other data analytics tools, as necessary.
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Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
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Bachelor's Degree in Data Engineering, Data Science, or Computer Engineering. Keywords: Data Engineer, Data Science Engineer, data engineering, SQL, Python, PySpark, big data, forecasting, operations, communication, collaboration, presentation, Oracle, Java, Azure, Purview, Snowflake, Qlik, Tableau.
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Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, mathematics, physics or chemistry (e.g. Bachelor) and typically 14 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD+9 years' related work experience, Master years' related work experience.
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Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, mathematics, physics or chemistry (e.g. Bachelor) and typically 9 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD+4 years' related work experience, Master+7 years' related work experience.
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Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.
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From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity and inclusion are shared values. Boeing Defense, Space & Security (BDS) Safety, Certification and Airworthiness (SCAW) is currently looking for a senior or principal Electrical Engineering Unit Member (E-UM) / FAA Designated Engineering Representative (DER) to support teams based out of El Segundo, CA, Huntington Beach, CA, Mesa, AZ, Berkeley, MO, Houston, TX, San Antonio, TX, Huntsville, AL, Ridley Park, PA and/or Oklahoma City, OK.
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Mentor and guide prospective Engineering Unit members, providing feedback and supporting throughout their development. Active appointment as an FAA DER or active appointment as an Engineering Unit Member in an ODA.
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We are looking to recruit at least one postdoctoral fellow at an intersection of microfluidics, image-based machine learning, and molecular biology. Candidates with a strong foundation in microfluidics, machine learning, and biology are desired.
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Masters degree in Engineering, Management Information Systems, Information Technology, Information Science, Business, Computer Science, Mathematics, or related quantitative science field with 8-10 years experience as a GEOINT Quality Test Engineer on programs/projects.
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machine learning computer science systems engineering equity and inclusion jobs Title: engineering in Anoka, Minnesota
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