Key Responsibilities
- Develop and deploy machine learning models at scale
- Design and implement deep learning architectures for complex problems
- Optimize model performance and inference efficiency
- Collaborate with data scientists to integrate ML solutions
- Implement MLOps practices for model lifecycle management
- Monitor and maintain model performance in production
Requirements
- 5+ years of experience in machine learning and deep learning
- Proficiency in Python and frameworks like TensorFlow or PyTorch
- Experience with MLOps and model deployment
- Strong understanding of statistical modeling and optimization
- Ability to work in a collaborative, research-driven environment