Service Delivery Center, AI & Data, Machine Learning Engineer (MLE) - Senior
Tasks
- Architect multi-agent AI systems
- Build LLM based autonomous decision systems
- Conduct A B testing and monitoring
- Create MLOps pipelines for continuous improvement
- Deploy production-grade AI agents
- Implement retrieval augmented generation systems
- Optimize inference cost and performance
- Present solutions to executives
- Prototype financial AI applications
- Translate regulations into AI agent behaviors
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS SageMaker | Autogen | Azure OpenAI | Azure OpenAI Service | B testing | Chroma | Context learning | Continuous Deployment | CrewAI | Drift Detection | Fine Tuning | Flink | GANs | Google Vertex | Google Vertex AI | In-context Learning | Kafka | Langchain | Language Models | Large Language Models | LoRA | MLOps | Machine Learning | Model Fine-tuning | Model versioning | OpenAI Service | PEFT | Pinecone | Prompt engineering | Python | QLoRA | Retrieval-Augmented Generation | Transformers | Vector Databases | Vertex AI | Weaviate
Education
N/A
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