Collaborate with cross-functional teams to develop, deploy, and maintain AI-driven solutions.
Assist in collecting, cleaning, and analyzing data from various sources to derive actionable insights.
Contribute to the design and implementation of scalable data pipelines for model training and deployment.
Support the integration of machine learning models into production systems using DevOps best practices.
Participate in designing and optimizing CI/CD pipelines for continuous integration, testing, and deployment of AI applications on cloud platforms.
Assist in infrastructure provisioning, configuration, and monitoring using cloud services such as AWS, Azure, or Google Cloud.
Work closely with data scientists and engineers to understand business requirements and translate them into technical solutions.
Research and experiment with emerging technologies and tools in AI, Data Science, DevOps, and Cloud domains.
Collaborate on documentation efforts to ensure knowledge sharing and best practices across the team.
Requirements & Skills:
Multi-Cloud AI Infrastructure Configuration, Automation and Deployment
Full Stack AI DevOps & Development
Generative AI model, Large Language Models, and Foundation models to transform input to output. NB: Input can be text, images, audio or videos; Output can also be text, images, audio, or videos