Engineering Manager – AI Platforms
Tasks
- Build scalable machine learning workflows
- Collaborate with data scientists product managers and cloud architects
- Conduct technical architecture reviews
- Drive MLOps pipelines
- Drive uptime resilience and performance
- Ensure AI platforms are scalable and secure
- Ensure GDPR compliance
- Ensure SOC2 compliance
- Implement Responsible-AI guardrails
- Implement drift detection
- Implement model monitoring
- Lead and mentor ML and GenAI engineers
- Lead and mentor software engineers
- Own AI platform roadmap
- Provide architecture guidance for LLM integrations
- Transition research notebooks to production code
- Translate technical capabilities into executive insights
Perks/Benefits
Skills/Tech-stack
AWS Bedrock | AWS SageMaker | Agentic Workflows | Agile | Azure AI | CI/CD | Capacity Planning | Data Analysis | Deep learning | Distributed Systems | Distributed Systems Design | Docker | Drift Detection | Exploratory Data Analysis | Feature Engineering | Fine Tuning | Generative AI | Google Vertex | Google Vertex AI | Kubernetes | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Milvus | Model Fine-tuning | Model Monitoring | Multi-cloud | Natural Language | Natural Language Processing | Pinecone | Retrieval-Augmented Generation | Scrum | Security Compliance | Systems Design | Vector Databases | Vertex AI | Weaviate
Education
Roles
AI | AI Engineering | AI Engineering Manager | Engineering | Engineering Manager | Manager
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