Machine Learning Engineer 4
Bangalore, India
R
INR 2475K-4500K (estimate) Senior-level Full Time
Tasks
- Build and optimize feature pipelines on Databricks and Spark
- Build and train deep learning models from scratch
- Collaborate cross functionally with data science and product teams
- Implement MLOps practices
- Improve inference performance
- Mentor engineers on experimentation and deployment
- Monitor and manage production ML systems
- Own model training stack
- Stay current with advances in ML and apply innovations
- Train large models on GPU infrastructure
- Translate prototypes into production ML systems
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | Attention Mechanisms | Automated retraining | CI/CD | Checkpointing | DDP | Databricks | Deep learning | Distributed Training | Efficient Attention | Experiment tracking | FSDP | Feature Engineering | Gradient Accumulation | Inference Optimization | MLOps | Machine Learning | Mixed Precision | Mixed-precision training | Model Deployment | Model versioning | Production Monitoring | PyTorch | Python | TensorFlow | Transformers
Education
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