Software Engineer III - ML Pipelines(Python, Pyspark , AWS)

About this job

Design, build, and maintain platform components that support end-to-end ML model lifecycle — from development and training to deployment and monitoring Develop and maintain data and feature pipelines that feed ML models in production Build and manage cloud-based infrastructure on AWS (including Databricks, EMR, ECS, and S3) to support model training and serving workloads Automate model deployment, testing, and release processes within the SDLC/MLOps toolchain Support migration of legacy ML workloads to cloud-native, scalable platforms with zero downtime Monitor platform health and model serving infrastructure; identify and resolve performance and stability issues Apply AI-assisted development tools and best practices to improve code quality and delivery speed Drives team adoption of…

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Most-requested skills in the United States

Based on 930 United States vacancies that list requirements, these are the skills employers ask for most often.

• Python56% of postings
• AWS39% of postings
• Java37% of postings
• CI/CD35% of postings
• Kubernetes31% of postings
• Agile/Scrum30% of postings
• React21% of postings
• SQL21% of postings

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