AI/ML Engineer
Tasks
- Build and scale LLM applications
- Deploy production ready AI services
- Design and deploy agentic AI systems
- Develop training and inference pipelines
- Evaluate models and run A B testing
- Fine-tune and optimize LLMs
- Implement real time and batch inference infrastructure
- Monitor models and improve continuously
- Prototype and apply research to product use cases
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | Deep learning | Distributed Training | Docker | Embeddings | Faiss | Fine Tuning | GPU Optimization | Hugging Face | Inference Optimization | Kubernetes | Language Models | Language Processing | Large Language Models | LoRA | Microservices | Natural Language | Natural Language Processing | PEFT | PGVector | Pinecone | PyTorch | Python | RAG | REST APIs | Semantic Search | TensorFlow | Vector Databases
Education
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
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