- Build and train large-scale deep learning models
- Optimize model training, inference, and deployment
- Develop feature pipelines using Databricks and Spark
- Implement MLOps, model monitoring, and CI/CD
- Collaborate with cross-functional teams and mentor engineers
Requirements
- Machine Learning experience
- Experience building and deploying ML models at scale
- Solid Python and PyTorch/TensorFlow expertise
- Knowledge of Databricks, Spark, and MLOps
- Strong understanding of the end-to-end ML lifecycle