Senior Machine Learning Engineer
Tasks
- Build evaluation frameworks
- Build knowledge extraction systems
- Deploy ML models
- Develop agentic AI workflows
- Develop interactive AI prototypes
- Evaluate accuracy of AI agents
- Evaluate robustness of AI agents
- Evaluate usability of AI agents
- Explore LLM context engineering
- Generate insights
- Leverage LLMs for data analysis
- Optimize AI workflows
- Research ML models
- Train ML models
- Translate AI innovations into production features
Perks/Benefits
- N/A
Skills/Tech-stack
AI frameworks | Agentic AI | Context engineering | Deep learning | Fine Tuning | LLM Evaluation | Language Models | Language Processing | Large Language Models | Machine Learning | Model Fine-tuning | Model Optimization | Model Training | Natural Language | Natural Language Processing | Python
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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