Platform Architect: Scalable Machine Learning Systems
3 days ago
Machine Learning Platform DeveloperWe are seeking a highly skilled and innovative Machine Learning Platform Developer to design and build scalable, reliable ML systems that drive business growth.Develop cutting-edge ML infrastructure using AWS or Azure, ensuring seamless integration with our existing systems.Collaborate with SREs, service owners, and observability experts to deploy and manage ML models, guaranteeing maximum uptime and performance.Implement data pipelines using Databricks and related tools, streamlining data processing and analytics.Design and execute CI/CD and MLOps best practices for automating model deployment, testing, and monitoring.To succeed in this role, you will need:A Master's degree in Computer Science, Engineering, or Artificial Intelligence (or equivalent experience).Proven expertise in designing, developing, and operating ML systems in production environments.Hands-on experience with LLMs/MCPs, Grafana, and Databricks.Strong coding skills in Python, with knowledge of Kubernetes and cloud platforms (AWS/Azure).Familiarity with observability pillars (metrics, logs, traces) and OpenTelemetry pipelines for ML systems.Knowledge of CI/CD, MLOps, and monitoring best practices.Key Responsibilities:Design and develop scalable ML infrastructure on AWS or Azure.Collaborate with cross-functional teams to deploy and manage ML models.Implement data pipelines using Databricks and related tools.Execute CI/CD and MLOps best practices for automating model deployment and testing.What We Offer:Competitive salary and benefits package.Opportunities for career growth and professional development.Collaborative and dynamic work environment.How to Apply:Please submit your resume and cover letter to apply for this exciting opportunity.
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