Key Responsibilities
- Design and implement machine learning models for production systems with a focus on scalability
- Develop and maintain MLOps pipelines for model training, evaluation, and deployment
- Collaborate with data scientists and engineers to productionize ML solutions
- Optimize models for performance, latency, and resource efficiency
- Monitor model performance and implement continuous improvement strategies
- Document technical specifications and best practices for ML systems
Requirements
- 5+ years of experience in machine learning engineering or related fields
- Proficiency in Python with deep expertise in TensorFlow or PyTorch
- Experience with MLOps tools and cloud platforms (AWS/GCP/Azure)
- Strong understanding of data pipelines and distributed computing
- Ability to design and implement scalable ML systems in production environments