Technical Expert – Data & AI

Key Responsibilities

• Define standards, best practices, and frameworks for building, deploying, and maintaining data and AI infrastructures (on-prem, cloud, or hybrid).
• Implement and deploy machine learning and AI models, ensuring integrity, performance, monitoring, and maintenance.
• Evaluate new technologies, tools, and platforms and conduct PoCs and benchmarking.
• Support architecture design for data and AI solutions including pipelines, data lakes, warehouses, streaming, MLOps, and analytics platforms.
• Coordinate integration of data and AI solutions with corporate systems, ensuring compatibility, security, and efficiency.
• Ensure compliance with data governance, security, privacy, and regulatory standards.
• Act as a technical mentor for architects, data engineers, and data scientists; review designs and promote best practices.
• Collaborate with business, analytics, cybersecurity, infrastructure, and compliance teams to ensure alignment.
• Document architectures, processes, and technical decisions; communicate risks and project status to stakeholders.
• Stay updated on emerging trends in AI, big data, MLOps, automation, and cost optimization; promote pilots of new technologies.