Key Responsibilities
- Develop and deploy machine learning models for crypto and blockchain applications
- Optimize models for performance, scalability, and inference speed
- Collaborate with data scientists to design and implement ML pipelines
- Research and implement state-of-the-art techniques in ML and AI
- Ensure reproducibility and robustness of ML systems in production
- Mentor team members on best practices in ML engineering
Requirements
- 7+ years in machine learning engineering with a focus on applied research
- Proficiency in Python and deep learning frameworks like TensorFlow or PyTorch
- Experience with model optimization and deployment in production environments
- Strong background in statistics, linear algebra, and algorithm design
- Ability to lead ML initiatives and drive technical innovation