Added
2 hours ago
Type
Full time
Salary
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Related skills
sql python apis mlops data pipelinesπ Description
- Develop and maintain reusable ML pipelines and systems with testing and docs.
- Collaborate with cross-functional teams to guide technical direction and improve user experiences with ML.
- Focus on model monitoring, drift detection, alerting, and resource optimization.
- Set up deployment infrastructure including APIs and automated monitoring and deployment processes.
- Instrumentation and experimental design to measure ML impact, incl. LLM evaluation.
- Build data labeling and ingestion workflows to optimize data pipelines and data scientist experiences.
π― Requirements
- 5+ years of professional experience in data science or ML engineering.
- Proficient in Python and SQL; strong software engineering skills; contribute across the stack.
- Team player with strong communication; able to influence technical direction across teams.
- Passionate about cutting-edge ML; experience with RAG and LLM evaluation techniques.
- Experience across ML lifecycle: data labeling, ingestion, deployment, MLOps, big data.
- Fintech/finance experience is a plus.
π Benefits
- Health, Dental & Vision Plans
- Life Insurance
- Long/Short Term Disability
- Competitive Pay
- 401k Matching
- Team Member Stock Purchasing Program (TMSPP)
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