Machine Learning Engineer, Specialist
Tasks
- Build prototypes and proof of concept
- Conduct AI research
- Develop new AI algorithms models techniques
- Ensure responsible AI safety compliance
- Evaluate models in production
- Fine-tune and adapt large language models
- Implement retrieval-augmented generation
- Mentor junior scientists and engineers
- Monitor model quality latency cost failures
- Publish research in AI conferences and journals
- Transition research to production systems
Perks/Benefits
- Financial wellness programs
- Hybrid work model
- Personal wellness resources
- Physical wellness benefits
- Wellness support
Skills/Tech-stack
Agent systems | Attention Mechanism | Containerization | DPO | Deep learning | DeepSpeed | Distributed Training | Experiment tracking | FSDP | Fine Tuning | GPU Training | Instruction Tuning | Instruction following | LLM Observability | Langfuse | Langsmith | Language Models | Large Language Models | LoRA | MLflow | Model Evaluation | Model Monitoring | Model Serving | Multi-Agent | Multi-Agent Systems | Multi-GPU | Multi-GPU Training | Online evaluation | PEFT | Prompt engineering | PyTorch | Python | RLHF | Red Teaming | Regression testing | Retrieval-Augmented Generation | Text Generation | Text generation inference | Transformer | VLLM | Weights and Biases
Education
Bachelor of Engineering | Master of Science | PhD | Post Doctorate
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