remote
AI Enablement Lead Engineer
AI Engineer
Lead Engineer to build AI enablement platforms that streamline model development, deployment, and lifecycle management for scalable AI solutions.
About the role
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
Skills
machine learningpythonai model deploymentcloud platformsapi developmentdata pipelines