Experience with tensorflow pytorch or scikit-learn
The role focuses on enhancing the publishing cycle by developing and deploying advanced AI and ML solutions to streamline processes
Job Summary
The role focuses on enhancing the publishing cycle by developing and deploying advanced AI and ML solutions to streamline processes.
Candidates will be responsible for staying updated on the latest technology trends in AI and GenAI while conducting experiments to validate their implications.
Springer Nature is committed to inclusion and believes that diverse perspectives drive progress in creating an environment where people and ideas can flourish.
Matching Summary
The role focuses on enhancing the publishing cycle by developing and deploying advanced AI and ML solutions to streamline processes.
Skills & Requirements
Must-have
3+ years AI/ML engineering experience
Proficiency in Python and R programming
Experience with TensorFlow PyTorch or scikit-learn
Hands-on Generative AI LLM and RAG applications
Strong background in Natural Language Processing
Cloud platform deployment on AWS Azure or Google Cloud
Nice-to-have
Excellent data visualization and storytelling skills
Ability to collaborate with non-technical stakeholders
Experience in model optimization for production
Knowledge of software development best practices
Interest in scientific discovery and research acceleration
Key Requirements
Bachelor's or master's degree in computer science or Engineering
3+ years of experience in AI/ML engineering
Strong understanding of machine learning algorithms and deep learning frameworks