AI Engineer
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Build RAG pipelines
- Build backend APIs for AI applications
- Build prompt engineering strategies
- Design and implement LLM-based systems
- Design and implement machine learning systems
- Develop automated testing frameworks for models
- Fine-tune foundation models
- Implement MLOps pipelines
- Implement model evaluation systems
- Implement model monitoring systems
- Optimize model cost efficiency
- Optimize model inference performance
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Adapter Layers | Airflow | Azure | B testing | CI/CD | Caching | Docker | FastAPI | Flask | GCP | Kubernetes | Langchain | Llamaindex | LoRA | MLOps | Model Evaluation | Model Monitoring | PostgreSQL | Pruning | PyTorch | Python | QLoRA | Quantization | REST APIs | Redis | SGLang | TensorFlow | TensorRT | TensorRT-LLM | Transformers | VLLM | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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