Related skills
java python tensorflow spark scylladb📋 Description
- Build first-class ML platform covering feature engineering, training, deployment
- Identify features for multiple use cases and models
- Train models for batch and real-time predictions; evaluate accuracy
- Monitor and optimize large production clusters; debug issues
- Collaborate with product managers, data scientists, and engineers
- Continuously learn and adopt emerging technologies
🎯 Requirements
- Bachelors, Masters, or PhD in CS, Statistics, or related field
- 6+ years applied ML in production; PhD acceleration welcome
- Strong coding with Spark, Python, Java
- Real-time, low-latency model evaluation
- Distributed ML frameworks: Spark-MLlib, TensorFlow
- Experience with Spark, Hive, Aerospike, ScyllaDB
🎁 Benefits
- Global mental health and financial wellness resources
- Healthcare: medical, dental, vision coverage
- Life, disability, and retirement options (401(k)/pension)
- Commuter benefits and time off per policy
- Flexible work options; location-dependent
- Details vary by location; consult recruiter
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