Engineering Manager – AI Platforms
Tasks
- Align execution with product managers and cloud architects
- Conduct architectural reviews for AI integrations
- Drive model monitoring and drift detection
- Ensure AI security and compliance
- Implement MLOps pipelines
- Manage and mentor software engineers and ML engineers
- Oversee scalable machine learning workflows
- Own AI platform roadmap
- Support LLM platform development with RAG and agents
- Translate technical capabilities for executives
Perks/Benefits
- Collaborative work environment
- Global consulting experience
- Leadership development
- Training programs
Skills/Tech-stack
AWS Bedrock | AWS SageMaker | Agile | Azure AI | CI/CD | Capacity Planning | Cloud Native | Cloud-native development | Data Analysis | Deep learning | Docker | Drift Detection | Exploratory Data Analysis | Feature Engineering | Feature validation | GDPR | Google Vertex | Google Vertex AI | Kubernetes | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | MLOps Pipeline | Machine Learning | Milvus | Model Monitoring | Multi-cloud | Native Development | Natural Language | Natural Language Processing | Pinecone | RAG | Responsible AI | Retrieval-Augmented Generation | SOC2 | Scrum | Vector Databases | Vertex AI | Weaviate
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