Key Responsibilities
- Design and implement scalable AI enablement frameworks to accelerate model development and deployment
- Optimize ML pipelines for performance, cost, and reliability in production environments
- Collaborate with cross-functional teams to integrate AI capabilities into core products
- Develop reusable components and tooling for AI workflow automation
- Mentor engineers on best practices for AI system architecture and deployment
- Establish standards for model monitoring, versioning, and lifecycle management
Requirements
- 7+ years of experience in software engineering with 3+ years in AI/ML systems
- Expertise in Python, ML frameworks (TensorFlow/PyTorch), and cloud platforms (AWS/GCP/Azure)
- Strong background in API design, distributed systems, and CI/CD pipelines
- Experience with containerization (Docker/Kubernetes) and infrastructure-as-code
- Proven track record of shipping production-grade AI systems