Senior Lead AI Engineer || WFH || Up to 450k
Tasks
- Build vector database powered APIs
- Design RAG and embeddings solutions
- Lead end to end delivery of enterprise AI ML solutions
- Mentor engineers and provide technical guidance
- Oversee MLOps pipelines and monitoring
- Own architecture for LLM applications
- Perform code reviews and enforce engineering best practices
- Prototype and troubleshoot production systems
- Translate business requirements into technical execution
Perks/Benefits
- Annual leave
- Employee referral program
- HMO coverage
- Night differential pay
- Remote work
- Team events and activities
Skills/Tech-stack
API Development | AWS | Amazon SageMaker | CI/CD | Cloud platform | Docker | Embeddings | GenAI | Google Cloud | Google Cloud Platform | Kubernetes | Language Models | Large Language Models | MLflow | Microsoft Azure | Monitoring | PyTorch | Python | Retrieval-Augmented Generation | TensorFlow | Vector Databases | Vertex AI
Education
N/A
Roles
AI Engineer | Engineer | Lead | Lead AI Engineer | Senior AI Engineer
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