Senior Machine Learning Engineer

📋 Description

• Build a first-class ML platform for feature engineering, training, deployment and monitoring.
• Data analysis and feature engineering to create reusable features.
• Model training for batch and real-time predictions using ML methods.
• Production ops: debugging, performance measurement, and tuning on large clusters.
• Collaborate with product managers, data scientists, and engineers.
• Stay current with emerging technologies and industry trends.

🎯 Requirements

• Bachelor's/Master's/PhD in CS, Statistics, or related field.
• 5+ years of applied ML experience on real use cases.
• Proficient in Python and Java; Spark experience.
• Real-time model evaluation with low latency constraints.
• Distributed ML frameworks such as Spark-MLlib, TensorFlow.
• Experience with Spark, Hive, and NoSQL stores like Aerospike/ScyllaDB.

🎁 Benefits

• Global mental health and financial wellness resources.
• Healthcare (medical, dental, vision); life and disability insurance.
• Commuter and retirement options (401(k)/pension).
• Paid time off and location-based leave policies.