Machine Learning Engineer - Enterprise
Tasks
- Benchmark models and write evaluation tests
- Build LLM powered software end to end
- Develop and deploy retrieval-augmented generation systems
- Ensure model and agent system quality reliability security scalability
- Fine-tune and align large language models
- Integrate AI components into scalable platforms
- Orchestrate multiple models into multi step workflows
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic Systems | Cloud Platforms | Data Security | Distributed Training | Distributed inference | Fine Tuning | Go | HTTP | JAX | Language Models | Large Language Models | MLOps | Model Evaluation | Model Orchestration | Multimodal Models | PyTorch | Python | REST API | Retrieval-Augmented Generation | Rust | System design | TypeScript | WebRTC
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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