Mgr, Machine Learning Eng 4
Tasks
- Contribute to architecture prototyping and critical path development
- Convert emerging AI technologies into prototypes and products
- Drive innovation in context engineering and agentic AI workflows
- Ensure production quality model performance
- Establish evaluation standards for accuracy robustness and safety
- Establish model development methodologies and scalable productionization
- Foster technical excellence collaboration and customer centric thinking
- Lead team of Applied Machine Learning engineers and researchers
- Oversee research development and deployment of machine learning models
- Translate AI capabilities into enterprise features with product and UX partners
Perks/Benefits
- N/A
Skills/Tech-stack
AI infrastructure | Deep learning | End to End | End to End MLOps | Evaluation | Fine Tuning | LLM Engineering | Language Models | Language Processing | Large Language Models | Machine Learning | Model Fine-tuning | Model Optimization | Model Training | Natural Language | Natural Language Processing | Python | Robustness | Safety
Education
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