Description

Education

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.

Experience

• 10+ years of experience in software, data, or enterprise architecture, with hands‑on experience in AI/ML solutions.
• Proven experience defining AI use cases and translating them into production‑grade architectures.
• Experience working in large, complex, enterprise environments.

Technical Skills

• Strong understanding of:
  • Machine learning concepts, deep learning, and generative AI
  • Data architecture, pipelines, and analytical platforms
• Experience with:
  • Cloud platforms (Azure, AWS, or GCP) and their AI/ML services
  • MLOps / LLMOps tools and practices
  • APIs, microservices, and event‑driven architectures
• Familiarity with:
  • Model monitoring, drift detection, and performance management
  • Security and data privacy considerations for AI systems

Key Skills

Education

Bachelor's or Master's degrees