Senior AI/ML Engineer (SaaS / AI & Data)
Tasks
- Build AI infrastructure for model serving and pipelines
- Build reusable AI components
- Communicate technical trade-offs to executives
- Create prompt systems and evaluation frameworks
- Design AIML features in SaaS products
- Develop AI best practices and frameworks
- Document scalable AI solutions
- Integrate LLM APIs into production applications
- Own end-to-end model lifecycle
- Prioritize AI initiatives by ROI and feasibility
- Translate business problems into AI solutions
Perks/Benefits
Skills/Tech-stack
API Integration | AWS | Artificial Intelligence | Azure | Data Engineering | Docker | GCP | Kubernetes | LLM API | LLM API integration | Langchain | Language Models | Large Language Models | Llamaindex | Machine Learning | Model Evaluation | Prompt engineering | Python | Retrieval-Augmented Generation | Vector Databases | Vector Search
Education
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