AI/ML Engineer
Tasks
- Build LLM applications
- Deploy AI services
- Design Agentic AI systems
- Develop training and inference pipelines
- Fine-tune LLMs for domain tasks
- Implement real-time and batch inference
- Optimize embeddings and semantic search
- Run A/B testing
- Set up model evaluation and monitoring
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Autogen | Azure | Batch inference | CrewAI | Distributed Training | Docker | Faiss | Fine Tuning | GCP | GPU Optimization | Hugging Face | Kubernetes | Langgraph | Language Models | Large Language Models | LoRA | Microservices | PEFT | PGVector | Pinecone | PyTorch | Python | RAG | Real Time | Real-time Inference | Semantic Search | TensorFlow | Vector Databases
Education
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