Description

You design AI/ML system architectures from concept through to production.

Responsibilities

  • Partner with product, business, and engineering teams to define the AI strategy.
  • Evaluate and select appropriate models, tools, frameworks, and cloud services.
  • Design data pipelines, model serving, monitoring, and governance structures.
  • Define best practices for security, privacy, compliance, and MLOps.
  • Review technical designs and guide engineers on implementation while ensuring scalability and cost-efficiency.

Required Skills

  • 10+ years in software engineering, data engineering, or ML systems.
  • Strong experience designing distributed systems and cloud architecture.
  • Hands-on experience with ML/LLM systems and model deployment.
  • Strong understanding of data pipelines, APIs, and system integration.
  • Experience with AWS, GCP, or Azure cloud platforms.
  • Familiarity with AI/ML concepts.
  • Experience with Data Engineering principles.
  • Excellent communication and stakeholder management skills.

Education

Any Gradute