Staff Machine Learning Engineer
Tasks
- Automate retraining
- Build RESTful APIs and microservices
- Build multi-agent architectures
- Build scalable data pipelines
- Conduct machine learning research and experimentation
- Deploy machine learning models to production
- Design train fine tune and optimize machine learning models
- Detect data drift and model drift
- Develop LLM-powered systems
- Establish machine learning best practices
- Implement continuous monitoring for models
- Orchestrate interactions between agents
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent systems | Azure | CI/CD | Cloud platform | DVC | Data Drift | Data Drift Detection | Docker | Drift Detection | Feature Engineering | Google Cloud | Google Cloud Platform | Hyperparameter Tuning | Hypothesis Testing | Kubernetes | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | MLflow | Model versioning | Multi-Agent | Multi-Agent Systems | NumPy | Pandas | Polars | Predictive Modeling | PyTorch | Python | Retrieval-Augmented Generation | SQL | Scikit-learn | Statistical Analysis | Supervised Learning | TensorFlow | Terraform | Unsupervised Learning
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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