SENIOR SOFTWARE ENGINEER - ML OPS 4 - 7 Years

Job Description

As a Senior Software Engineer- MLOps, you’ll architect and manage ML deployment pipelines, ensuring models are delivered in scalable, secure and production-grade environments. You will implement CI/CD, container orchestration, monitoring and governance frameworks, serving as a critical link between ML engineering and enterprise infrastructure aligned with HD Supply’s tech stack.

JOB REQUIREMENTS

Education and Certifications

· Bachelor’s or Master’s degree in computer science, software engineering, or related fields

· Certifications in DevOps, Kubernetes, GCP, or MLOps preferred

Required Experience

· 4–7 years in ML/DevOps roles, building CI/CD pipelines and deployment frameworks for ML applications

· Experience implementing CI/CD pipelines for ML artifacts and model packaging

· Proficient in containerization (Docker), orchestration (Kubernetes / EKS / GKE), and Airflow/Prefect pipeli...