Position Details
About this role
This role involves developing and deploying machine learning models, collaborating with customer teams, and extending product capabilities through data pipelines and reinforcement learning algorithms in a SaaS environment.
Key Responsibilities
- Collaborate with customer teams on ML use cases
- Develop scalable data pipelines
- Refine reinforcement learning algorithms
- Contribute to product strategy
- Ensure successful model deployment
Technical Overview
The technical environment includes Python, TensorFlow, Keras, scikit-learn, SQL, Kubernetes, and Google Cloud Platform, focusing on large-scale data processing and model deployment.
Ideal Candidate
The ideal candidate is a data scientist or ML engineer with 3-5+ years of experience, proficient in Python and ML libraries, with strong skills in building scalable data pipelines and deploying models in production environments.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with ML libraries, No experience with scalable data pipelines, Inability to work onsite in San Francisco
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