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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
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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 for software and
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forecasting. Proficiency with statistical computer languages such as Python or R. Proficiency with relational database systems (SQL) and object-based data stores. Ability to define and solve logical problems
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high-level object-oriented programming and scripting languages, such as Python and/or C++ Experience developing embedded systems for consumer and aerospace industries. Understanding of SQL database
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in NIST SP 800-53rev5 and IETF RFCs on security protocols. Proficiency in full stack development (e.g., front-end: React, Angular, Vue.js; Back-End: Node.js, Python, Go, or Java). Familiarity with
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knowledge of at least one major cloud platform (AWS, GCP, or Azure) Strong programming skills in Python and infrastructure-as-code tools Proficient with containerization (Docker) and orchestration (Kubernetes
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statistical analysis software (R, Python, SPSS, or similar) preferred Experience with data modelling or database design preferred Position Type Temporary Additional Information Northeastern University considers
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cognitive search. Develop Snowpark Python transformations, UDFs, and machine-learning features. Implement vectorized storage, model-serving patterns, and AI-ready data transformations. Support RAG/semantic
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., Cognos, SQL, R, Python, Tableau, Power BI ) Key Responsibilities Responsible for day-to-day procurement activities within assigned commodities/thresholds, including, but not limited to: Reviewing and
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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