Senior ML Engineer
Tasks
- Build and monitor model pipelines
- Deploy and maintain machine learning models
- Design scalable machine learning solutions for production
- Develop end-to-end machine learning pipelines
- Ensure responsible AI governance and compliance
- Implement MLOps practices including CI/CD
- Integrate large language models into enterprise applications
- Optimize model performance in production
- Support troubleshooting and release readiness
Perks/Benefits
Skills/Tech-stack
AWS Bedrock | AWS Lambda | AWS SageMaker | Amazon CloudWatch | Amazon S3 | Azure | Azure Machine Learning | CI/CD | Distributed Systems | Docker | Event Driven | Event-driven architecture | Generative AI | Hugging Face | Kubernetes | LLM integration | 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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