Machine Learning Engineer 3
Tasks
- Build and optimize feature pipelines
- Build and train deep learning models from scratch
- Collaborate with data science and product teams
- Implement MLOps practices
- Improve inference performance
- Mentor junior engineers
- Monitor production models
- Own the full training stack
- Train large models on GPU infrastructure
- Translate prototypes into production ML systems
Perks/Benefits
- N/A
Skills/Tech-stack
Attention | Automated retraining | CI/CD | Contrastive Learning | DDP | Databricks | Deep learning | Distributed Training | Experiment tracking | FSDP | Feature Engineering | GPU Computing | Gradient Accumulation | Inference Optimization | MLOps | Machine Learning | Masked Modeling | Mixed Precision | Mixed-precision training | Model Monitoring | Model Optimization | Model versioning | PyTorch | Python | Self-Supervised Learning | Self-supervised | Spark | Supervised Learning | TensorFlow | Transformer
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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