Machine Learning Engineer (LLM)
Tasks
- Build AI agents
- Build RAG applications
- Conduct code reviews
- Design and develop LLM compression techniques
- Evaluate and benchmark model performance
- Fine-tune and optimize large language models
- Maintain LLM documentation
- Recommend tools and technologies for LLM improvements
- Train and deploy custom deep learning models
- Train and develop computer vision models
Perks/Benefits
- Career plan
- Continuous learning culture
- Discounted lunch options
- Educational budget
- Equal pay guaranteed
- Flexible working hours
- Hybrid work
- Indefinite contract
- Language classes
- Private health insurance
- Relocation package
- Work visa sponsorship
Skills/Tech-stack
AI Agents | AWS | Accelerate | Cloud Computing | Computer Vision | Data Quality | Datasets | Debugging | Deep learning | DevOps | Docker | GPU Architecture | GPU Inference | HPC | High Performance | High-Performance Computing | HuggingFace Transformers | Huggingface | MLOps | Model Evaluation | Neural Networks | Performance Analysis | Performance Computing | PyTorch | Python | RAG | Retrieval-Augmented Generation | TensorRT | Test Design | Transformers | VLLM
Education
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