Key Responsibilities
- Design, develop, and deploy scalable AI/ML models on AWS infrastructure
- Optimize model performance for production environments using cloud-native tools
- Lead cross-functional teams to integrate AI solutions into core products
- Implement best practices for data pipelines, model versioning, and MLOps
- Collaborate with stakeholders to define AI roadmap and success metrics
- Ensure compliance with security and privacy standards in AI implementations
Requirements
- 7+ years of experience in AI/ML engineering with AWS expertise
- Proficiency in Python, TensorFlow/PyTorch, and AWS SageMaker
- Hands-on experience with cloud infrastructure (EC2, Lambda, S3, RDS)
- Strong background in deep learning, NLP, or computer vision applications
- Experience with CI/CD pipelines and infrastructure-as-code (Terraform)