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Springernature
Senior ML Engineer (AI)
Springernature
Pune•On-site•3-5 Yrs•2 hours ago
Job description
AIMLGenerative AILLMsData Science
Overview
Senior ML Engineer (AI) at Springer Nature responsible for designing, developing, and deploying end-to-end AI/ML solutions 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.
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.
- Evaluate, benchmark, and fine-tune AI/ML models to ensure optimal performance in production environments.
- Implement and enforce best practices for model monitoring, retraining, and maintenance.
- Drive innovation by researching, prototyping, and implementing cutting-edge AI technologies, including Generative AI and Large Language Models (LLMs).
- Provide technical mentorship and guidance to junior AI/ML engineers and contribute to their professional growth.
- Collaborate with non-technical stakeholders to translate business challenges into AI/ML solutions and communicate results effectively.
- Develop and contribute to AI governance frameworks, ensuring ethical and responsible AI practices.
- Lead initiatives for integrating AI/ML models into existing and new Springer Nature platforms to enhance user experiences.
Qualifications
- Strong understanding of AI/ML concepts
- Experience with scalable and production-grade ML systems
- Knowledge of AI governance frameworks and ethical practices
Nice to have
- Experience working with specific platforms like Google Cloud