Key Responsibilities
- Design, train, and deploy machine learning models for production use
- Develop scalable data pipelines for model training and inference
- Optimize models for performance, latency, and resource efficiency
- Collaborate with data scientists to implement research into production systems
- Monitor model performance and implement continuous improvement strategies
- Document and maintain model versions and deployment workflows
Requirements
- 3+ years of experience in machine learning or related fields
- Strong programming skills in Python and familiarity with ML frameworks
- Experience with MLOps tools and cloud platforms
- Understanding of data preprocessing and feature engineering
- Ability to work in cross-functional teams and iterate on models