Machine Learning Engineer, LLM Training & Customization (Remote)
Tasks
- Build scalable inference pipelines
- Design develop and optimize LLM workflows
- Implement retrieval-augmented generation techniques
- Integrate AI models with software engineering
- Integrate LLMs into production environments
- Optimize model performance, latency, and cost
- Orchestrate LLM applications with CrewAI
- Orchestrate LLM applications with LangChain
- Orchestrate LLM applications with LangFlow
- Perform prompt engineering
- Prepare training data pipelines
- Research and experiment with LLM fine tuning
- Train and fine-tune large language models
Perks/Benefits
Skills/Tech-stack
AWS | Azure | Cloud deployment | Containerization | CrewAI | Data Augmentation | Docker | Embedding Models | Faiss | Fine Tuning | GCP | GPU Optimization | Hugging Face | Hugging Face Transformers | Instruction Tuning | Kubernetes | LangFlow | Langchain | Language Models | Large Language Models | Learning operations | LoRA | ML Ops | Machine Learning | Machine Learning Operations | PEFT | Pinecone | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | Serverless | TensorFlow | Tokenization | Vector Databases | Weaviate
Education
N/A
Regions
Countries
States
Cities
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