Senior Machine Learning Platform Engineer

📋 Description

• Design, build, and maintain scalable platform services: feature store, real-time inference
• Run and monitor online AB tests via robust platform services, analyzing platform metrics and
• Collaborate closely with US-based engineering and cross-functional teams to translate business
• Enhance and evolve the ML platform ecosystem to support high developer velocity, system
• Contribute to onboarding, training, and mentoring new team members on emerging platform engineering

🎯 Requirements

• 5+ years of experience building software solutions
• Strong CS fundamentals. Should be able to write an algorithm with ease
• You are fluent with one of the high-level programming languages like Java, Scala, Kotlin, or Python
• We’d love to see that you’ve worked with big data systems (Spark, Kafka, Flink, S3, AirFlow)
• Familiar with model ML frameworks and tools: Ray, PyTorch, HuggingFace, AWS Sagemaker
• MS in Computer Science or related field

🎁 Benefits

• Global access to mental health and financial wellness support and resources
• Healthcare options include medical, dental, and vision where available
• Life, disability, and retirement options (401(k)/pension)
• Paid time off and leave policies to support work-life balance