- Own the machine learning operations and deployment for all ML and AI solutions
- Develop frameworks for capturing the feedback loop data
- Automate monitoring of model performance and user behavior
- Influence the tooling, frameworks, and ML practices with the AI/ML team
- Aid in the data collection for AI/ML development and validation
- Partner with Product Management on prioritization and requirement
- Occasional domestic travel required for in-person team, department, and company meetings
- AWS tools and solutions including Sagemaker, Redshift, Athena
- Experience with Machine learning libraries such as PyTorch
- Hands-on experience with designing, developing and deploying workflows with ML models with feedback loops; Uses Bitbucket workflows and has experience with CI/CD
- Deep experience in at least two of the following languages: PySpark/Spark, Python, C
- Working knowledge of AI/ML algorithms. Large language models (LLMs), Retrieval-augmented generation (RAN), Clustering algorithms (such as K-Means), Binary classifiers (such as XGBoost)
- High level of self-starter, learning, and initiative behaviors
- Preferred:
- Background as a software engineer and experience as a data scientist
- Features Stores
- Competitive compensation package, including Employee Equity Appreciation Program
- Health insurance benefits
- 401k with employer match
- 100% remote work environment
- Unlimited paid time off (which includes paid holidays and Winter Break)
- Paid parental leave
- Tuition assistance and Professional development and growth opportunities
- 100% paid life, short and long term disability insurance
- Pre-tax medical and dependent care flexible spending accounts (FSA)
- Voluntary life and critical illness insurance
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