Senior Machine Learning Engineer (Agentic AI)
Tasks
- Build Retrieval Augmented Generation systems
- Build agentic AI architectures
- Develop and deploy machine learning models
- Implement LLMOps frameworks
- Orchestrate large language models
- Perform feature engineering and hyperparameter tuning
- Productionize AI agents
- Set up monitoring logging and evaluation
Perks/Benefits
- Education reimbursement
- Health plans
- Hybrid work
- In-office perks
- Parental leave
- Retirement options
- Vacation and sick time
Skills/Tech-stack
Agentic AI | Amazon Web Services | Cloud platform | Feature Engineering | Google Cloud | Google Cloud Platform | Hyperparameter Tuning | Kubeflow | LLMOps | Language Models | Large Language Models | Logging | MLOps | Machine Learning | Microsoft Azure | Monitoring | PyTorch | Python | Retrieval-Augmented Generation | SQL | SageMaker | Scikit-learn | TensorFlow | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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