Data science with AI Professional

As an AI/ML Developer, your role involves designing, developing, and deploying AI/ML solutions across multiple domains. You will be responsible for building and training machine learning and deep learning models using frameworks like TensorFlow, PyTorch, or Keras. Additionally, your key responsibilities will include: - Performing data preprocessing, feature engineering, and handling large-scale datasets for modeling and analysis. - Applying statistical modeling, regression, classification, clustering, and ensemble methods to solve complex problems. - Implementing MLOps practices for model lifecycle management using tools such as MLflow, Kubeflow, SageMaker MLOps, or Azure ML Pipelines. - Utilizing SQL for data extraction, manipulation, and feature creation from relational databases. - Collaborating with cross-functional teams, ensuring best practices in software development, version control (Git), code reviews, and CI/CD. - Continuously optimizing and improving models, algorithms, and pipelines for accuracy, performance, and scalability. - Staying updated with the latest AI/ML trends and incorporating relevant advancements into solutions. No additional details of the company are provided in the job description. As an AI/ML Developer, your role involves designing, developing, and deploying AI/ML solutions across multiple domains. You will be responsible for building and training machine learning and deep learning models using frameworks like TensorFlow, PyTorch, or Keras. Additionally, your key responsibilities will include: - Performing data preprocessing, feature engineering, and handling large-scale datasets for modeling and analysis. - Applying statistical modeling, regression, classification, clustering, and ensemble methods to solve complex problems. - Implementing MLOps practices for model lifecycle management using tools such as MLflow, Kubeflow, SageMaker MLOps, or Azure ML Pipelines. - Utilizing SQL for data extraction, manipulation, and feature creation from relational databases. - Collaborating with cross-functional teams, ensuring best practices in software development, version control (Git), code reviews, and CI/CD. - Continuously optimizing and improving models, algorithms, and pipelines for accuracy, performance, and scalability. - Staying updated with the latest AI/ML trends and incorporating relevant advancements into solutions. No additional details of the company are provided in the job description.