Staff Software Engineer -ML/AI
Tasks
- Build ML training and evaluation frameworks
- Deploy machine learning models to production
- Design machine learning research and experiments
- Develop reliable production-grade code
- Implement automated testing
- Mentor junior engineers
- Monitor model performance and retrain models
- Optimize ML model quality and latency
- Own machine learning lifecycle
- Participate in service ownership and on-call
- Prevent model drift
- Set technical direction for ML systems
- Stress test and monitor ML systems
Perks/Benefits
Skills/Tech-stack
API Development | API Services | AWS | CI/CD | Deep learning | Docker | ECS | EKS | Embeddings | Event Streaming | Feature Stores | GCP | Golang | Hugging Face | Kafka | Knowledge graphs | Kubernetes | Langchain | Language Models | Large Language Models | LoRA | MLOps | Machine Learning | Model Distillation | Model Management | Model Monitoring | Model Quantization | NLP | PEFT | Prompt engineering | PyTorch | Python | RAG | Retrieval | Scala | Scikit-learn | Secure API | Secure API development | Serverless | Serving pipelines | Statistical Analysis | TensorFlow | Training pipelines | Vector Databases
Education
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