ML Platform Engineer

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Requirements:

• 1–3 years of experience in software development, specifically in data and ML infrastructure.
• Proven track record of building scalable, distributed production systems.
• Exceptional coding and design skills, primarily using Python and Java.
• Proficient in big data technologies such as Kafka, Spark, Hive/Iceberg, Postgres, and Redis.
• Hands-on experience with AWS or other cloud providers.
• Strong cross-functional communication skills.

Responsibilities:

• Build and maintain the critical infrastructure for machine learning.
• Design, develop, and support scalable services and frameworks for ML model training and deployment.
• Contribute to day-to-day operations of the ML Platform team and drive improvements.
• Collaborate with data scientists to unlock the full potential of the platform.