Senior Software Engineer, ML Ops

📋 Description

• Architect and build infrastructure and automation, in AWS and on-premises, to support ML
• Drive system design and lead architectural discussions for the MLOps suite, ensuring it meets
• Lead technical initiatives by researching, evaluating, and implementing new MLOps tools
• Collaborate with machine learning engineers, data scientists, product engineering, and
• Optimize ML workflows, ensuring models are efficiently and reproducibly deployed and monitored
• Champion engineering excellence by enforcing high coding standards, conducting design reviews, and

🎯 Requirements

• BS or Master's in Computer Science, Computer Engineering, Software Engineering or closely related
• 5+ years of software engineering experience, with a focus on building production-grade frameworks
• Strong software engineering skills in complex, multi-language systems and experience with scalable
• Experience with Kubernetes and cloud computing platforms (AWS preferred)
• Experience with observability and monitoring tools (e.g., Prometheus, Grafana, Datadog)
• Solid understanding of DevOps principles and infrastructure-as-code (Helm, Terraform)