Responsibilities
- Develop, refine, and sustain a collection of machine learning models utilized by enterprise customers.
- Investigate, architect, and build experimental ML models to derive insights from customer datasets.
- Create innovative approaches for applying machine learning to support organizational objectives.
- Work alongside product and backend engineering teams to integrate ML-powered features into the SaaS platform.
- Construct ML systems to extract, categorize, and prioritize metadata from extensive datasets.
- Manage the complete machine learning lifecycle, from concept to training, assessment, deployment, and ongoing monitoring.
- Partner closely with the current ML engineer to accelerate development timelines and output.
- Identify and apply novel ML techniques to address practical business challenges.
- Remain informed about advancements in machine learning and assess their strategic relevance.
- Play a key role in shaping the team’s technical direction and infrastructure development.
Compensation
$150K- ...
Other
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