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.

Key Skills

Education

Any Gradute