Principal Machine Learning Engineer
Tasks
- Architect end-to-end machine learning pipelines
- Build and deploy AI agents using large language models
- Build and scale machine learning models in production
- Champion responsible AI practices for fairness and transparency
- Conduct A B testing for ranking and personalization
- Define AI and machine learning technical strategy
- Design develop and deploy production models
- Integrate data processing for training and deployment
- Integrate sub agents tools and MCP integrations
- Mentor and elevate individual contributors
- Partner with product engineering and data leadership
- Perform offline evaluation for model performance
- Run experimentation frameworks for model improvement
- Translate business challenges into ML solutions
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AI Agents | Airflow | B testing | Fairness | Fine Tuning | LLM prompting | Language Models | Large Language Models | Machine Learning | NLP | Offline evaluation | PyTorch | Python | Ranking | Recommendation Systems | Responsible AI | Spark | TensorFlow | Transparency
Education
N/A
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