Machine Learning Engineer
Tasks
- Apply prompt engineering and Retrieval-Augmented Generation
- Build features using machine learning for optimization and prediction
- Deploy machine learning models in scalable pipelines
- Design production machine learning systems
- Develop LLM fine tuning workflows
- Develop data pipelines for training and inference
- Implement MLOps for model deployment and monitoring
- Integrate machine learning into software engineering workflows
- Track experiments and manage model governance
- Use Kubernetes and AWS for production infrastructure
Perks/Benefits
- Dental coverage
- Equipment and tools
- Flexible time off
- Flexible working hours
- Health insurance
- Premium healthcare
- Relocation package
- Team meals
- Vision coverage
Skills/Tech-stack
Amazon Web Services | Apache Beam | Automated testing | Data Versioning | Experiment tracking | Fine Tuning | Kubernetes | Langchain | Language Models | Large Language Models | MLOps | MLflow | Model Governance | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | Scikit-learn | TensorFlow | Transformers | Web Services
Education
N/A
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