Senior Machine Learning Engineer (Agentic AI)
Tasks
- Build Retrieval Augmented Generation systems
- Build agentic AI architectures
- Collaborate on technical solutions
- Deploy machine learning models
- Design LLMOps frameworks
- Develop machine learning models
- Evaluate AI agent performance
- Implement LLM orchestration
- Implement agent state management
- Implement observability, monitoring, and logging
- Optimize feature engineering
- Perform hyperparameter tuning
- Productionize AI agents
Perks/Benefits
- Education reimbursement
- Health plans
- Hybrid work environment
- Parental leave
- Retirement options
- Time off
Skills/Tech-stack
AWS | Agentic AI | Algorithms | Amazon SageMaker | Azure | Cloud platform | Computer Science | Data Structures | Feature Engineering | Generative AI | Google Cloud | Google Cloud Platform | Hyperparameter Tuning | Kubeflow | LLM orchestration | LLMOps | Language Models | Large Language Models | Logging | MLOps | Machine Learning | Monitoring | Observability | PyTorch | Python | Retrieval-Augmented Generation | SQL | Scikit-learn | TensorFlow
Education
N/A
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