Senior Machine Learning Engineer (NLP/LLMs)
Tasks
- Build NLP models in production
- Deploy machine learning models to production
- Design context optimization for LLM data sources
- Develop RAG AI agent systems
- Develop multi agent workflow orchestration
- Evaluate versioning and management of models and prompts
- Fine tune generative open source models
- Implement FastAPI and REST APIs
- Maintain knowledge base quality systems
Perks/Benefits
- 26 days off
- Company supported courses
- Conference budget
- Ebook audiobook service access
- English language classes
- Flexible hours
- Mental well-being program
- Private medical care
- Remote work
- Sport wellness benefit
Skills/Tech-stack
Asynchronous programming | Deep learning | FastAPI | Flask | Hugging Face | LLM | Language Processing | MLOps | Machine Learning | Model Deployment | Model Evaluation | Model versioning | Natural Language | Natural Language Processing | Prompt engineering | PyTorch | Python | RAG | REST API
Education
N/A
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