Engineering Manager – AI Platforms
Tasks
- Coach and mentor ML and GenAI engineers
- Detect model drift
- Drive MLOps pipelines
- Enable automated model fine tuning
- Ensure GDPR compliance
- Ensure SOC2 compliance
- Ensure data privacy in model training
- Ensure scalable machine learning workflows
- Guide AI architecture reviews
- Implement Responsible-AI guardrails
- Implement model monitoring
- Manage software engineers
- Oversee RAG implementations
- Own AI platform roadmap
- Support agentic workflows
- Translate technical capabilities for executives
Perks/Benefits
- Collaborative team environment
- Global consulting experience
- Leadership development programs
- Training sessions
Skills/Tech-stack
AWS Bedrock | AWS SageMaker | Agile | Azure AI | CI/CD | Data Analysis | Deep learning | Distributed Systems | Docker | Drift Detection | Exploratory Data Analysis | Feature Engineering | Feature Store | GDPR | Generative AI | Google Vertex | Google Vertex AI | Kubernetes | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | Machine Learning | Milvus | Model Drift | Model Drift Detection | Model Monitoring | Natural Language | Natural Language Processing | Observability | Pinecone | Responsible AI | Retrieval-Augmented Generation | SOC2 | Scrum | Vector Databases | Vertex AI | Weaviate
Education
Roles
AI | AI Engineering | AI Engineering Manager | Engineering | Engineering Manager | Manager
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