AI/ML Engineer
Tasks
- Build retrieval-augmented generation workflows
- Design scalable AI services
- Develop ETL pipelines
- Develop microservices
- Enhance NLP and information extraction
- Improve testing observability reliability
- Integrate large language models
- Train and evaluate machine learning models
Perks/Benefits
Skills/Tech-stack
Asynchronous programming | CI/CD | Code review | Docker | ETL | Entity recognition | FastAPI | GraphQL | Integration Testing | Langchain | Langgraph | Language Models | Large Language Models | NLP | Part of speech tagging | Prompt engineering | PyTorch | Pydantic | Python | REST | Relationship Extraction | Retrieval-Augmented Generation | Sentence Transformers | TensorFlow | Tokenization | Unit Testing | Vector embeddings | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
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