Position Details
About this role
This role involves owning the full lifecycle of machine learning models at ServiceUp, from exploration to deployment and iteration. The engineer will work closely with cross-functional teams to create value from ML models.
Key Responsibilities
- Own ML model lifecycle
- Develop feature pipelines
- Deploy models to production
- Monitor and retrain models
- Collaborate with product and engineering teams
Technical Overview
Proficiency in Python, SQL, BigQuery, PostgreSQL, and experience with ML model deployment, evaluation, and monitoring are required. The environment emphasizes scalable ML solutions and real-time performance tracking.
Ideal Candidate
The ideal candidate is a senior data scientist with 7+ years of experience in machine learning, proficient in model deployment, evaluation, and monitoring. They should have strong SQL and Python skills and experience with large data platforms.
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 7 years of ML experience, No experience with model deployment or evaluation, Lack of SQL or Python proficiency
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