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.