AI ML Engineer at Springer Nature

Develop end-to-end AI/ML solutions, from data collection and preprocessing to model development, deployment, and maintenance. Collaborate with data scientists to preprocess data and create features for model training. Implement and maintain AI infrastructure, including data pipelines and model deployment systems. Evaluate and compare different AI/ML models to select the most appropriate ones for specific tasks. Develop and deploy machine learning models. Optimize model performance and scalability for production environments. Research and experiment with new AI technologies to drive innovation.  Communicate findings and insights to non-technical stakeholders through data visualization and storytelling. Apply machine learning, deep learning, Gen AI techniques to solve complex problems in areas such as natural language processing, computer vision, and predictive analytics. Monitor and maintain deployed models, including retraining and updating them as needed.