Key Responsibilities
- Develop and deploy machine learning models for production environments
- Collaborate with data scientists to preprocess and analyze datasets
- Optimize models for performance, scalability, and interpretability
- Implement CI/CD pipelines for ML model updates and monitoring
- Document model architectures, training processes, and evaluation metrics
Requirements
- 3+ years of experience in machine learning or related fields
- Proficiency in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch)
- Strong understanding of model training, evaluation, and deployment
- Experience with cloud platforms (e.g., AWS, GCP) for ML workloads