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experience deploying ML systems into production environments, with a focus on performance, robustness, and scalability. Domain expertise in NLP, computer vision, or speech processing. Proficient in Python
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-oriented programming and scripting languages, such as Python, C++, C#, Java, JavaScript, etc. Interest in Computer Vision, ML, and AI concepts. Ability to lead a small team of engineers and share knowledge
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reporting tools (e.g., Cognos, SQL, R, Python, Tableau, Power BI). KEY RESPONSIILITIES & ACCOUNTABILITIES Project Management Lead and facilitate cross-functional category projects that comply with approved
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Engineering: Excellent software development skills with proficiency in Python, TensorFlow/PyTorch, and experience with containerized deployments and MLOps practices. Data Pipeline Engineering: Extensive
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database management for the data sharing portal website. QUALIFICATIONS: The candidate should have hands-on experience in programming and software development, with proficiency in Python, JavaScript, and
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linear algebra, and algorithm design. Proficiency in Python and/or MATLAB; familiarity with numerical optimization libraries and scientific computing. Strong written and oral communication skills; ability
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transformative AI projects. MINIMUM QUALFICIATIONS Expert knowledge of at least one major cloud platform (AWS, GCP, or Azure) Strong programming skills in Python and infrastructure-as-code tools Proficient with
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Proficiency with high-level object-oriented programming and scripting languages, such as Python, C++, Java Experience with high-performance computing environments. Understanding and experience with Python
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limited sample proteomics is highly desirable. Knowledge of R or Python coding would be desirable but not necessary. Applicants must include the following with their application: 1. Resume/CV 2. Cover
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Ph.D. in science (chemistry, physics, biology, etc.) or engineering required 7+ years of experience in computational physics or related area Proven experience coding in C/C++, Fortran, and/or Python