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Learning Video Understanding Multimodal AI Excellent programming skills in Python. Hands-on experience with: PyTorch Hugging Face Transformers OpenCV Experience working with deep learning models for image
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, Google Cloud, Microsoft Azure), including containerization (Docker), orchestration (Kubernetes), serverless computing, and REST API development. Proficient in Python, with basic experience in machine
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the team and the customers. Be self-directed to fulfil the project requirements. Job Requirements: Competence in working with languages such as C along with Python-based coding and AI development. Have a
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. The role will bridge rigorous theoretical work with hands-on offloading algorithm design and development. The core responsibility is to build and validate these offloading strategies, complete with Python
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independently. Able to work under pressure and meet deadlines. Key Competencies Proficient in Python or other equivalent programming languages. Strong foundation in data analytics and data-driven modelling. Able
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methods for engineering applications Familiarity with engineering software such as ABAQUS, ETABS, MATLAB, Python, or equivalent will be an advantage. Prior experience in laboratory testing, data analysis
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, preferably in Python, MATLAB, C/C++, or related environments. Proven research track record through peer-reviewed journal publications and/or conference presentations in relevant areas. Experience in
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computer vision and vision-language models Experience with ML evaluation metrics and benchmarking Proficiency in Python and deep learning frameworks (e.g., PyTorch) Interest in applied, industry
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. Experience in designing, developing and evaluating solutions for a given problem statement using simulation tools, such as Matlab, Python, etc., and documenting and publishing the works in technical reports
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strong publication record or clear evidence of research productivity will be an advantage. Our lab uses Python, MATLAB and C++ to automate both data analysis and process control. Knowledge in these tools