AI & ML Developer

Role Overview: As an AI & ML Developer at BYLD Group, you will be responsible for developing, training, and optimizing machine learning models for object detection and categorization. Your expertise in YoLo models, TensorFlow, and Python will be utilized to create and maintain APIs for deploying ML models in production. Collaborating with cross-functional teams, you will translate business requirements into ML solutions, implement algorithms, and evaluate model performance to ensure high accuracy. Additionally, you will stay updated with advancements in machine learning, deep learning, and AI technologies, troubleshoot and resolve model-related issues, and document findings for technical and non-technical audiences. Key Responsibilities: - Develop, train, and optimize machine learning models for object detection and categorization - Create and maintain APIs for deploying ML models in production - Collaborate with cross-functional teams to translate business requirements into ML solutions - Implement and evaluate algorithms for object detection and categorization - Perform data preprocessing, feature engineering, and model evaluation for high performance - Stay updated with advancements in machine learning, deep learning, and AI technologies - Troubleshoot and resolve issues related to model performance and deployment - Document and present findings, methodologies, and results to technical and non-technical stakeholders Qualification Required: - 0-2 years of hands-on experience with complete machine learning life-cycle projects - Proficiency in Python and ML libraries/frameworks such as TensorFlow, YoLo models, PyTorch, Scikit-learn - Experience in developing and deploying APIs for ML models - Strong understanding of algorithms for object detection and categorization - Familiarity with data annotation tools and techniques for object detection - Knowledge of natural language processing (NLP) techniques - Experience working in Scrum teams and pursuing collective team goals (Note: The additional details of the company were not included in the job description.) Role Overview: As an AI & ML Developer at BYLD Group, you will be responsible for developing, training, and optimizing machine learning models for object detection and categorization. Your expertise in YoLo models, TensorFlow, and Python will be utilized to create and maintain APIs for deploying ML models in production. Collaborating with cross-functional teams, you will translate business requirements into ML solutions, implement algorithms, and evaluate model performance to ensure high accuracy. Additionally, you will stay updated with advancements in machine learning, deep learning, and AI technologies, troubleshoot and resolve model-related issues, and document findings for technical and non-technical audiences. Key Responsibilities: - Develop, train, and optimize machine learning models for object detection and categorization - Create and maintain APIs for deploying ML models in production - Collaborate with cross-functional teams to translate business requirements into ML solutions - Implement and evaluate algorithms for object detection and categorization - Perform data preprocessing, feature engineering, and model evaluation for high performance - Stay updated with advancements in machine learning, deep learning, and AI technologies - Troubleshoot and resolve issues related to model performance and deployment - Document and present findings, methodologies, and results to technical and non-technical stakeholders Qualification Required: - 0-2 years of hands-on experience with complete machine learning life-cycle projects - Proficiency in Python and ML libraries/frameworks such as TensorFlow, YoLo models, PyTorch, Scikit-learn - Experience in developing and deploying APIs for ML models - Strong understanding of algorithms for object detection and categorization - Familiarity with data annotation tools and techniques for object detection - Knowledge of natural language processing (NLP) techniques - Experience working in Scrum teams and pursuing collective team goals (Note: The additional details of the company were not included in the job description.)