Engineering Manager – AI Platforms
Tasks
- Apply responsible AI guardrails
- Automate model fine tuning
- Build MLops pipelines
- Coach and mentor ML and GenAI engineers
- Collaborate with data scientists and product managers
- Define career paths
- Ensure model validation
- Ensure security compliance
- Implement RAG workflows
- Implement agentic workflows
- Implement drift detection
- Integrate vector databases
- Lead incident response for AI platforms
- Manage software engineers team
- Oversee machine learning workflows
- Own AI platform roadmap
- Review AI architectures
- Scale generative AI and LLM platforms
- Set up model monitoring
- Transition notebooks to production code
- Translate technical capabilities for executives
Perks/Benefits
Skills/Tech-stack
AWS | AWS Bedrock | Agile Scrum | Amazon SageMaker | Azure | Azure AI | CI/CD | Deep learning | Distributed Systems | Docker | Drift Detection | GCP | GitHub Copilot | Google Vertex | Google Vertex AI | Kubernetes | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | Machine Learning | Milvus | Model Monitoring | Natural Language | Natural Language Processing | Pinecone | Python | RAG | Vector Databases | Vertex AI | Weaviate
Education
Roles
AI | AI Engineering | AI Engineering Manager | Engineering | Engineering Manager | Manager
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