Senior AI Engineer
Tasks
- Allocate resources across delivery backlogs
- Architect end to end LLM workflows
- Build CI/CD pipelines
- Build containerized AI workflows
- Collaborate with product and business teams
- Define LLMOps vision
- Deploy and monitor LLM applications
- Develop partnerships with AI platforms
- Establish model governance best practices
- Evaluate LLM models
- Implement model fine-tuning
- Implement retrieval-augmented generation pipelines
- Integrate LLMs with enterprise systems and APIs
- Lead pre sales for LLM solutions
- Manage ML engineering team
- Manage vector databases
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Azure | CI/CD | CNN | Cloud platform | Docker | Fine Tuning | Google Cloud | Google Cloud Platform | Kubernetes | LLMOps | Langchain | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Evaluation | Model Governance | NLP | Natural Language | Natural Language Processing | RAG | RNN | Retrieval-Augmented Generation | Transformers | Vector Databases
Education
Roles
AI | AI Engineer | Engineer | Lead | Lead AI Engineer | Senior AI Engineer
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