Location : Pune, India
About Springer Nature Group
Springer Nature opens the doors to discovery for researchers, educators, clinicians, and other professionals. Every day, around the globe, our imprints, books, journals, platforms, and technology solutions reach millions of people. For over 182 years our brands and imprints have been a trusted source of knowledge to these communities and today, more than ever, we see it as our responsibility to ensure that fundamental knowledge can be found, verified, understood, and used by our communities – enabling them to improve outcomes, make progress, and benefit the generations that follow.
About Us
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.
About the Role
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.
Key Responsibilities
Design, develop, and deploy end-to-end AI/ML solutions, ensuring scalability, efficiency, and robustness.
Lead AI/ML initiatives, collaborating with cross-functional teams including data scientists, software engineers, and product managers.
Architect and optimize AI infrastructure, including data pipelines, model training workflows, and deployment systems.
Drive innovation by researching, prototyping, and implementing cutting-edge AI technologies, including Generative AI and Large Language Models (LLMs).
Within 3 Months:
Gain a deep understanding of Springer Nature’s AI/ML ecosystem, including technology stack, data infrastructure, and cloud platforms (Google Cloud).
Take ownership of small-to-medium AI/ML projects, collaborating with team members to design, implement, and deploy models.
By 3-6 Months:
Conduct deep-dive research into new AI methodologies, including model compression, fine-tuning strategies, and RAG applications.
Drive improvements in AI infrastructure, including automation, CI/CD pipelines, and GPU resource management.
By 6-12 Months:
Advocate for AI ethics, model interpretability, and fairness, ensuring responsible AI development practices.
About You
Bachelor's, Master’s, or PhD in Computer Science, Engineering, or a related field.
6-9 years of experience in AI/ML engineering, with extensive hands-on experience in machine learning, deep learning, and Generative AI.
Deep understanding of AI/ML concepts, including model training, optimization, and deployment at scale.
Experience with software engineering best practices, including CI/CD, version control (Git), testing, and containerization (Docker, Kubernetes).
Hands-on experience in NLP, Computer Vision, and Large Language Models (LLMs), including developing and fine-tuning RAG applications.
SN Skills -
SN-Process Optimization, SN-Storytelling, SN-Big Data Management, SN-Data Security & Governance, SN-Software Engineering & Systems Integration , SN-Tech Savvy, SN-Product Development & Delivery, SN-Manages Complexity, SN-Process & Systems Design, SN-Communicates Effectively
At Springer Nature, our mission is to be part of progress – and that begins with inclusion: of people, perspectives, and ideas. We believe that diverse perspectives drive progress, and we are committed to creating an environment where people and ideas can flourish. If you have any access needs related to disability, neurodivergence or a chronic condition, please contact us so we can make all necessary accommodation. Find out more about our DEI work here https://group.springernature.com/gp/group/taking-responsibility/diversity-equity-inclusion
For more information about career opportunities in Springer Nature please visit https://springernature.wd3.myworkdayjobs.com/SpringerNatureCareers/
#LI-HD1
