Related skills
sql python pandas tensorflow pytorch📋 Description
- Build and maintain production ML models and pipelines
- Contribute to data processing, feature engineering, training, and evaluation
- Deploy, monitor, and validate ML models in production
- Partner with senior engineers and PMs to implement ML features
- Write high-quality, well-tested code and prevent regressions
- Apply best practices in ML engineering, reliability, and scalability
🎯 Requirements
- 3+ years software engineering, 2+ years ML or data systems
- Python and ML frameworks: PyTorch, TensorFlow, or xgboost
- Experience with pandas, SQL, Spark or similar data tools
- Experience building/supporting ML pipelines for training/validation
- Understanding production concerns: monitoring, performance, data quality
- Strong collaboration and growth mindset
🎁 Benefits
- Base salary 212,000–280,000 USD plus equity
- Health, wellness, and benefits package
- Equity and competitive perks
- Hybrid work arrangement
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