Position Details
About this role
Senior ML engineer role focused on building and scaling AI-powered identity security solutions, emphasizing model design, experimentation, deployment, and monitoring.
Key Responsibilities
- Design ML models
- Experiment with AI techniques
- Deploy and monitor models
- Advance AI capabilities
- Collaborate with teams
Technical Overview
Involves designing, experimenting with, and deploying ML models, including generative AI and graph ML, using Python and frameworks like PyTorch and TensorFlow, with a focus on production readiness.
Ideal Candidate
The ideal candidate is a mid-level ML engineer with at least 5 years of experience in model design, experimentation, deployment, and monitoring, with proficiency in Python and frameworks like PyTorch and TensorFlow. They should have a strong background in AI innovation, including generative AI and graph ML techniques.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 5 years of experience, No experience with ML model design or deployment, Lack of proficiency in Python, No experience with PyTorch or TensorFlow, Unable to work remotely in the US
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