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Tech Stack
Tools & technologiesNumpyPandasPythonPyTorchSQLTensorflow
About the role
Key responsibilities & impact- Play a key role in the success of our products by developing models for document understanding tasks.
- Perform error analysis, data cleaning, and other related tasks to improve models.
- Collaborate with your team by making recommendations for the development roadmap of a capability.
- Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines.
- Understand product use-cases and define key performance metrics for models according to business requirements.
- Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.).
Requirements
What you’ll need- 6+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models.
- Expertise with Python
- Experience with the latest developments in language models (transformers, LLMs, etc.)
- Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc.
- Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow
- Industry experience shepherding ML/AI projects from ideation to delivery
- Demonstrated ability to influence company KPIs with AI
- Demonstrated ability to navigate ambiguity.
Benefits
Comp & perks- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
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Hard Skills & Tools
data sciencemachine learningNLPPythontransformersLLMsSQLNumpyPandasPyTorch
Soft Skills
collaborationrecommendationinfluencenavigating ambiguity