Senior Software Engineer, ML Ops

Job Description

Architect and build scalable ML infrastructure and automation in AWS and on-premises to support AI application deployment. Lead the design of MLOps suites and optimize workflows to bridge the gap between research and production.

Requirements: Requires a degree in Computer Science or a related field and 5+ years of software engineering experience with a focus on production-grade frameworks. Proficiency in Python, Kubernetes, and cloud platforms is essential, with a strong understanding of DevOps and observability tools.

Key Skills: MLOps, Kubernetes, AWS, Python, Terraform, Helm, CI/CD, Airflow, Prometheus, Grafana, Datadog, PyTorch, Scikit-learn, Kafka, Backend Architecture, Model Monitoring