Engineering Manager – AI Platforms
Tasks
- Apply responsible AI guardrails
- Collaborate with data scientists product managers and cloud architects
- Drive scalable machine learning workflows
- Ensure GDPR and SOC2 compliance
- Ensure Kubernetes and Docker based deployments
- Guide architecture for LLM integrations
- Implement MLOps pipelines
- Lead RAG and agentic workflows
- Manage and mentor software engineers and ML GenAI engineers
- Monitor model performance and drift detection
- Oversee transition from research notebooks to production code
- Own AI platform roadmap
- Review vector database and orchestrator implementations
- Support model observability and reliability
- Translate technical capabilities for executive stakeholders
Perks/Benefits
Skills/Tech-stack
AWS Bedrock | AWS SageMaker | Agentic Workflows | Agile Scrum | Azure AI | CI/CD | Data Analysis | Deep learning | Distributed Systems | Docker | Drift Detection | Exploratory Data Analysis | Feature Engineering | GDPR | 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 | Observability | OpenAI | Pinecone | RAG | Responsible AI | SOC2 | Vector Databases | Vertex AI | Weaviate
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