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AIML Lead

10.00 to 16.00 Years   Mysore,Other Karnataka   16 Mar, 2025
Cognisol
Job LocationMysore,Other Karnataka
EducationNot Mentioned
SalaryNot Disclosed
IndustryEngineering / Construction
Functional AreaNot Mentioned
EmploymentTypeFull-time

Job Description

    Job Title : AIMLClient LTTSExperience: 10 to 16 yearsNotice: Immediate to 45 DaysLocation : Mysore.Work Mode : OnsiteJob Type : Full TimeSkills : Medical imaging , computer vision, image processing, Machine Learning , Python , pytorch .If Interested, please share your resume to hidden_emailRequired Skills & Qualifications:Design, develop, and deploy deep learning models for various applications in Computer Vision and Natural Language Processing.Work extensively with Convolutional Neural Networks (CNNs), Generative Adversarial Networks (GANs), Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM), and Transformer models.Conduct research on state-of-the-art deep learning algorithms and apply them to solve complex problems.Implement and fine-tune machine learning models using TensorFlow/PyTorch.Collaborate with data scientists, researchers, and software engineers to integrate AI solutions into production environments.Optimize deep learning models for scalability and efficiency, ensuring robust deployment in cloud or edge computing environments.Work on real-time and offline inference pipelines to deploy deep learning models efficiently.Stay updated with the latest advancements in Deep Learning, AI, and Machine Learning research and apply relevant insights to projects.Perform data preprocessing, augmentation, and feature engineering to improve model performance.Develop custom loss functions, optimization techniques, and model architectures to enhance the efficiency of deep learning models.Write clean, efficient, and well-documented Python code for implementing and training machine learning models.Conduct experiments, analyze results, and document findings for future reference and improvements.Work on improving model interpretability and explainability for real-world applications.Collaborate with teams across different domains to understand business problems and design AI-driven solutions.Required Skills & Qualifications:Strong understanding of Deep Learning concepts and architectures.Expertise in Computer Vision (CNN, GAN) and NLP (RNN, LSTM, Transformer).Proven experience with TensorFlow/PyTorch for training and deploying deep learning models.Proficiency in Python, with experience in writing efficient and scalable machine learning code.Hands-on experience with model optimization, tuning, and hyperparameter search.Solid understanding of mathematical concepts like linear algebra, probability, and optimization techniques.Experience with handling large-scale datasets and data preprocessing techniques.Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying deep learning models.Strong problem-solving skills and the ability to think critically in designing AI solutions.Research Background In Deep Learning (Preferred But Not Mandatory).Experience with distributed computing and parallel processing frameworks is a plus.Familiarity with MLOps and Model Deployment Pipelines is a plus.Skills: data preprocessing,distributed computing,feature engineering,long short-term memory (lstm),tensorflow,deep learning,image processing,cloud platforms (aws, azure, google cloud),convolutional neural networks (cnns),mlops,python,transformer models,recurrent neural networks (rnns),learning,generative adversarial networks (gans),medical imaging,machine learning,pytorch,computer vision,model optimization,

Keyskills :
Medical imagingComputer visionImage processingMachine LearningPythonDeep LearningAzurePytorchConvolutional Neural Networks CNNsGenerative Adversarial Networks GANsRecurrent Neural Networks RNNsLong ShortTerm Memory LSTMTransformer modelsTenso

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