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 collaborate with researchers and internal teams to integrate innovative AI solutions that accelerate scientific discovery.
The team is responsible for staying up to date with the latest technology trends in AI and GenAI while conducting experiments to validate their applications.
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 scikit-learn
Hands-on Generative AI and LLM development
Strong background in Natural Language Processing
Cloud platform deployment on AWS Azure or Google Cloud
Nice-to-have
Excellent data visualization and storytelling skills
Collaboration with non-technical stakeholders
Experience with model optimization for production
Knowledge of software engineering best practices
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