Senior Platform Engineer

Summary

Join SumerSports, a leading football intelligence technology company, as a Senior Platform Engineer. This role focuses on designing and implementing scalable MLOps processes for real-time inference and data processing. You will collaborate with various teams to enhance machine learning capabilities and infrastructure. The ideal candidate possesses strong expertise in Python, Kubernetes, and AWS services, along with experience in building and deploying generative AI and statistical models. This position offers a remote working environment and a comprehensive benefits package.

Requirements

• Strong expertise in Python and libraries for machine learning and data processing
• Extensive experience with Kubernetes, including deployments, scaling, and management of containerized applications
• In-depth knowledge of AWS services related to computing, storage, and machine learning
• Hands-on experience with building and deploying generative AI and statistical models
• Solid understanding of feature engineering, data preprocessing, and data integration techniques
• Familiarity with MLOps tools and best practices, including automation, monitoring, and orchestration

Responsibilities

• Develop and maintain scalable and efficient machine learning pipelines capable of processing large volumes of data in real time
• Work independently to deploy, manage, and monitor machine learning models, ensuring high performance and reliability
• Collaborate with product engineering, data science, and ML teams to integrate advanced machine learning features into our products
• Deploy and manage ML models using Kubernetes on AWS, ensuring high availability and low latency for real-time inference
• Implement continuous integration and delivery (CI/CD) processes for machine learning systems, ensuring rapid and safe deployment of features
• Optimize data and feature engineering processes to enhance model performance and reliability
• Monitor and evaluate model performance, making adjustments and improvements as needed
• Ensure compliance with data privacy and security protocols throughout the model lifecycle
• Contribute to the strategic planning and development of ML projects, ensuring alignment with business objectives and technological advancement

Benefits

• Comprehensive health insurance plan
• Retirement savings plan (401k) with company match
• Remote working environment