Key Responsibilities
- Design and deploy production-grade machine learning models at scale
- Develop MLOps pipelines for training, evaluation, and deployment
- Optimize models for performance, latency, and cost efficiency
- Lead research initiatives and drive innovation in applied ML
- Collaborate with engineering teams to integrate ML into core products
- Mentor engineers and establish best practices for ML development
Requirements
- 10+ years of experience in machine learning and applied research
- Expertise in deep learning, model training, and MLOps
- Strong background in scalable AI system design and deployment
- Proven leadership in building and scaling ML teams
- Experience with cloud platforms and distributed computing