CCA - AI Engineer
Tasks
- Build and maintain end-to-end ML pipelines
- Collaborate with stakeholders to translate requirements into AI solutions
- Deploy models
- Design and deploy LLM-powered applications
- Develop generative AI solutions
- Ensure scalability reliability and security of AI applications
- Evaluate LLM performance
- Implement prompt engineering fine tuning
- Integrate AI solutions with enterprise systems via APIs
- Monitor model performance
- Train models
Perks/Benefits
- Hackathons
- Learning opportunities
- Mental health support apps
- Training and development
- Wellbeing programs
Skills/Tech-stack
APIs | Cloud platform | Docker | Faiss | FastAPI | Fine Tuning | Flask | Google Cloud | Google Cloud Platform | Hugging Face | Kubernetes | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Microservices | Model Evaluation | Model Governance | Pinecone | Prompt engineering | PyTorch | Python | Responsible AI | Retrieval-Augmented Generation | TensorFlow | Vector Databases | Vertex AI
Education
N/A
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