Senior ML Engineer
Tasks
- Deploy and monitor ML models
- Design scalable ML solutions
- Develop end-to-end ML pipelines
- Ensure responsible AI governance
- Implement MLOps CI/CD pipelines
- Integrate LLMs into enterprise applications
- Optimize ML performance
- Troubleshoot production model issues
Perks/Benefits
Skills/Tech-stack
AWS Bedrock | AWS Lambda | AWS SageMaker | Amazon CloudWatch | Amazon S3 | Azure Machine Learning | CI/CD | Docker | Generative AI | Hugging Face | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | LightGBM | MLOps | Machine Learning | Model Monitoring | Model versioning | PyTorch | Python | RAG | REST APIs | Scikit-learn | TensorFlow | Terraform | XGBoost
Education
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