Python & GenAI Engineer
Tasks
- Build optimize RAG pipelines
- Deploy monitor and maintain AI solutions in cloud
- Design prompt strategies
- Develop REST APIs for AI features
- Develop generative AI applications using LLMs
- Fine tune models using LoRA and QLoRA
- Follow responsible AI security and data governance practices
- Integrate AI capabilities into enterprise applications
- Monitor AI solutions
- Perform testing debugging documentation and code reviews
Perks/Benefits
- Career growth
- Flexible work arrangements
- Hybrid work mode
- Professional development
- Training programmes
- Work-life balance
Skills/Tech-stack
AWS | Azure | CI/CD | Data Governance | Data Privacy | Docker | Embeddings | Generative AI | Git | Google Cloud | Hugging Face | Hybrid search | Keras | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | LoRA | Object-Oriented | Object-oriented programming | Prompt engineering | PyTorch | Python | QLoRA | RAG | REST APIs | Responsible AI | Retrieval-Augmented Generation | Semantic Search | TensorFlow | Vector Databases | Vector Search
Education
N/A
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