Machine Learning Engineer IV
Tasks
- Build batch-processing pipelines
- Build embeddings and prompt orchestration
- Build real time inference services
- Define and implement practical AI solutions
- Deliver secure scalable and observable ML services
- Design build and improve production machine learning systems
- Develop evaluation frameworks
- Develop retrieval augmented generation workflows
- Drive technical decisions for accuracy latency scalability maintainability security and cost
- Fine tune evaluate and deploy transformer models
- Improve engineering quality with testing monitoring and documentation
- Mentor engineers and share knowledge
Perks/Benefits
- Bonuses
- Disability insurance
- Life insurance
- Paid parental leave
- Paid time off
- Private medical insurance
Skills/Tech-stack
APIs | Batch Processing | Cost Optimization | Data Ingestion | Deep learning | Distributed Systems | Document Understanding | Embeddings | Evaluation | Experimentation | Inference | Information Retrieval | Language Models | Large Language Models | Latency optimization | Machine Learning | Model Deployment | Model Serving | Monitoring | Observability | Prompt orchestration) | Python | Retrieval-Augmented Generation | Security | Small Language Models | Testing | Transformers
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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