AI/ML Engineer
Tasks
- Architect generative AI systems
- Build LLM and RAG pipelines
- Design, build, and deploy AI solutions
- Evaluate model performance with metrics
- Implement data quality and text processing pipelines
- Implement observability and tracing
- Lead end-to-end AI project lifecycle
- Maintain version control with Git
- Manage LLMOps and production deployment
- Partner with business stakeholders to gather requirements
- Perform fine tuning and embedding optimization
- Set up CI CD for models
Perks/Benefits
Skills/Tech-stack
CI/CD | Embeddings | Fine Tuning | GCP | Git | Hugging Face | Hugging Face Transformers | Langchain | Language Models | Large Language Models | Llamaindex | Machine Learning | Observability | OpenAI API | Python | RAG | Retrieval-Augmented Generation | SQL | Scikit-learn | Text processing | Tracing | Vector Databases
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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