AI Engineer
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Build backend infrastructure for AI applications
- Design ML and LLM monitoring and evaluation systems
- Design and implement ML and LLM systems
- Develop automated testing frameworks for model quality
- Fine-tune foundation models
- Implement and maintain MLOps pipelines
- Implement prompt engineering strategies
- Optimize model inference performance
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Adapters | Airflow | Automated testing | Azure | B testing | CI/CD | Caching | Distributed Training | Distributed inference | Docker | FastAPI | Few-Shot Learning | Few-shot | Flask | GCP | GPU Training | Kubernetes | Langchain | Llamaindex | LoRA | MLOps | Model Evaluation | Model Serving | Monitoring and Alerting | Multi-GPU | Multi-GPU Training | PostgreSQL | Prompt engineering | Pruning | PyTorch | Python | QLoRA | Quantization | RAG | REST APIs | Real Time | Real-time Systems | Redis | Retrieval-Augmented Generation | SGLang | TensorFlow | TensorRT | TensorRT-LLM | Time Systems | Transformers | VLLM | Vector Database | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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