Post-Sales Machine Learning Solutions Engineer
October 19
Description
• Contributing to development of technology for better. • Advising data science teams on best practices for building models. • Researching how to adapt models to niche domains. • Writing technical blog posts and Jupyter notebooks. • Building relationships with customers to understand their goals.
Requirements
• Experience building NLP/Vision solutions. • Experience with the transformers library. • Self-starter and resourceful. • Attention to detail. • Customer relationship builder. • Great communicator. • Comfortable writing code scripts and notebooks on transformers/ML Ops use cases. • Quick learner in AI/ML developments.
Benefits
• Flexible working hours and remote options. • Health, dental, and vision benefits for employees and their dependents. • Parental leave and flexible paid time off. • Company equity as part of their compensation package.
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