Customer Implementation Engineer ( Python | AI/ML)
Tasks
- Build and integrate customer workflows
- Conduct code reviews
- Configure and deploy services on cloud platforms
- Create data ingestion transformation and validation pipelines
- Deploy AI pipelines to production
- Develop Python services
- Document integration workflows and playbooks
- Ensure reliability, observability, and performance
- Implement APIs and integration layers
- Integrate LLM components and retrieval systems
- Mentor junior team members
- Own end to end technical implementation
- Translate requirements into technical specifications
- Troubleshoot production issues and analyze logs
Perks/Benefits
Skills/Tech-stack
AWS | Azure | CI/CD | Cause analysis | Cloud platform | Distributed Systems | Django | Docker | Embeddings | FastAPI | Flask | Google Cloud | Google Cloud Platform | Kafka | Kubernetes | LLM | Log Analysis | Microservices | MongoDB | NLP | Observability | PostgreSQL | Python | RAG | REST APIs | RabbitMQ | Root Cause Analysis | Root cause
Education
N/A
Roles
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