Deliver end-to-end AI solutions by designing, training, and deploying Machine Learning models and AI systems
Collaborate with cross-functional teams including backend/frontend engineers, product managers and contribute to architectural decisions.
Preprocess and analyse large datasets from structured and unstructured sources.
Develop data pipelines and model training infrastructure.
Optimize model performance and scalability in production environments.
Implement CI/CD workflows for model versioning and deployment.
Assess and apply adoption of low-/no-code platforms like Copilot Studio to accelerate AI solution delivery and integrate with existing ML systems.
Understand cloud-native architecture concepts and have knowledge of best practices for high availability, scalability, resilience, performance, and security requirements in the cloud.
Stay current with industry trends and academic research to integrate state-of-the-art techniques.
Ensure compliance with data security, data privacy regulations and ethical AI practices.