AI / ML Engineer
Location :
Pune, Maharastra (Hybird)
Job Type :
Full-time
Key Responsibilities
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.
Job Descripition
The purpose of the AIML Engineer role at Springer Nature is to enhance the publishing cycle using advanced AI and ML skills. This role focuses on improving operational efficiency and decision-making by developing and deploying AI/ML solutions to streamline processes, improve data accuracy, and enable new capabilities. Key responsibilities include staying updated on AI/ML trends, ensuring system scalability and reliability, improving data quality, detailed data analysis, enhancing user experience, and driving business insights.
About Company
Springer Nature AI Labs work on building innovative solutions to accelerate discovery and scientific progress for the research community. Along with researchers, we also help internal Springer Nature teams in integrating AI solutions in their products for a state-of-the-art experience. Our task here is to understand the pain points of our customers, develop problem statements together with them and come up with the most innovative, cost effective and scalable solution. Our team is responsible for staying up to date with the latest technology trends in the field of AI and GenAI. We conduct experiments to validate their implications and applications at Springer Nature.