Cloud Architecture & AI Integration Consulting:
* Providing guidance on the design and integration of cloud infrastructures (Azure, AWS) and AI technologies
Architecture Development:
* Designing and implementing scalable Data & AI architectures, driving the development of modern AI infrastructures.
Pipeline & MLOps Engineering:
* Collaborating with AI engineers and data scientists to build robust data pipelines, optimize MLOps/LLMOps workflows, and ensure smooth model deployment.
Governance & IT Security:
* Ensuring data quality, security, and compliance through data governance frameworks, system hardening, encryption, access control, and alignment with data protection regulations.
Mentoring & Team Development:
* Supporting the team in developing expertise in AI architecture through technical mentoring, knowledge sharing and leadership
Innovation:
* Monitoring current and future trends and advancements in AI, machine learning, and other emerging technologies.
Cost monitoring & usage tracking:
* Implement cost monitoring and usage tracking of AI workloads across cloud platforms to ensure responsible and efficient resource consumption.
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