Description

Design and operationalize AI/ML processing environments within an enterprise cloud landscape. Map business requirements to technical implementations, ensuring security, usability, and stability.

Responsibilities

• Select and integrate open-source, commercial, or cloud-based technologies into existing infrastructure.
• Audit AI solutions for scalability, architecture, and security compliance.
• Lead ITSAC discussions and collaborate with stakeholders to drive AI adoption.
• Design modular components that allow for technology replacement without downtime.

Required Skills

• 10+ years of IT experience.
• Expertise in machine learning, including deep learning, NLP, and reinforcement learning.
• Strong programming skills in Java or Python.
• Hands-on experience with TensorFlow, Scikit-Learn, and PyTorch.
• Experience setting up AI/ML processing environments.
• Ability to map IT and security processes to AI workflows.
• Knowledge of evaluating non-functional requirements in cloud environments.

Preferred Skills

• Gen AI or AWS Certified Solution Architect certification.
• Experience supporting RFI/RFP activities.

Key Skills

Education

Any Gradute