Manager, AI Engineering
Tasks
- Architect end-to-end AI/ML systems
- Architect generative AI systems
- Build Retrieval Augmented Generation systems
- Define AI product roadmaps and success metrics
- Define AI project lifecycles
- Deploy AI models to production
- Design multi-agent orchestration systems
- Establish MLOps and LLMOps practices
- Establish responsible AI governance
- Implement CI CD for machine learning
- Lead AI engineering teams
- Partner with business stakeholders on AI opportunities
- Perform model versioning and evaluation
- Set up model monitoring and drift detection
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | BigQuery | CI/CD | Cloud Storage | Cloud platform | Computer Vision | Data Engineering | Dataflow | Deep learning | Docker | Drift Detection | Ensemble Methods | Fine Tuning | Generative AI | Git | Google Cloud | Google Cloud Platform | Keras | LLM | LLMOps | MLOps | Machine Learning | Model Drift | Model Drift Detection | Model Evaluation | Model Monitoring | NLP | Neural Networks | Prompt engineering | PyTorch | Python | Regression | Retrieval-Augmented Generation | Simulation optimization | TensorFlow | Vertex AI
Education
Roles
AI | AI Engineering | AI Engineering Manager | Engineering Manager | Manager
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