Summary
Join a team of doers on a journey to democratize AI and bring value from stranded data. This role involves building machine learning workflows and infrastructure to productize and sustain AI models in production. You will prepare data for ML models at scale, build inference interfaces, enable ML Ops for continuous delivery, and build/sustain AI productization platforms. The position requires a Bachelor's degree in computer science or a similar field with 7 years of experience (or a Master's with 5 years), hands-on Python development experience, and experience working with customers to solve real-life problems. The role offers a competitive salary range and remote work options.
Requirements
- Bachelor in computer science or similar field with 7 years of experience
- Master's with 5 years of experience
- Hands-on development with Python
- Experience working with customers and solving real-life problems
Responsibilities
- Build machine learning workflows and infrastructure necessary to productize AI models and sustain them in production
- Prepare data for ML models at scale
- Build appropriate inference interfaces for ML model consumption
- Enable ML Ops for continuous delivery and automation of ML pipelines
- Build and sustain AI productization platforms
Preferred Qualifications
- Experience optimizing AI models
- Knowledge of unsupervised learning
- Hands-on experience with LLM, RAG, and Vector DB
Benefits
- Compensation range of $149,020 - $223,560 (for California, Colorado, New York, Washington, and remote roles)
- Remote work options
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