Senior Machine Learning Engineer
Tasks
- Build and maintain machine learning infrastructure
- Deploy and monitor machine learning systems in production
- Design scalable data pipelines
- Develop retrieval-augmented generation systems
- Evaluate emerging machine learning techniques
- Integrate and evaluate large language models
- Optimize quantize and deploy models to edge devices
- Perform code reviews and write documentation
- Translate prototypes into deployable production systems
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | AWS SageMaker | Batch | C plus plus | C# | CI/CD | CUDA | DVC | Data Pipelines | Distributed Training | Docker | ECS | Kubernetes | Language Models | Large Language Models | LiteRT | LoRA | MLOps | MLflow | Machine Learning | Model Monitoring | Model Serving | Model versioning | Multi-GPU | Multimodal Machine Learning | ONNX | Prompt engineering | Pruning | PyTorch | Python | QLoRA | Quantization | Retrieval-Augmented Generation | S3 | TFLite | TensorFlow | Vertex AI | Weights and Biases
Education
Regions
Countries
States
Cities
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