MLOps Engineer

About Gradera Gradera defines a new category of enterprise transformation called Software-Orchestrated Services™ - where software orchestrates human expertise, digital workers, and enterprise systems to deliver governed outcomes at scale. As an AI Native Services firm, we help enterprises redesign how work gets done across operations, product, engineering, customer experience, data, and enterprise workflows to move beyond fragmented AI pilots and disconnected automation toward measurable business outcomes. OVERVIEW We are seeking a high-caliber Build & Release Engineer – MLOps to join our Security & DevSecOps squad. In this role, you will automate machine learning pipelines and model deployment frameworks. You will be the technical anchor for the MLOps lifecycle, ensuring that our simulation-ready AI models are built, deployed, and monitored to the highest standards of engineering excellence. We are looking for an expert in Databricks and OpenShift who can work independently to automate the journey from experimentation to production. OUR CORE MLOPS STACK ML ORCHESTRATION & DEPLOYMENT · Databricks ML Pipelines for automated training and feature engineering · MLflow for model tracking, versioning, and deployment on OpenShift · OpenShift AI / Red Hat OpenShift Data Science (RHODS) for managed AI workloads · Databricks Jobs & Workflows for scheduling and orchestrating complex data tasks Containerization & Platform · OpenShift Container Platform (OCP) and OpenShift Operators specialized for ML/GPU workloads · Docker / Podman for containerizing model serving environments · Python for automation, scripting, and ML pipeline development CI/CD & Monitoring · CI/CD for ML (GitOps) to automate model promotion across environments · Model Monitoring (Evidently, Prometheus, or Grafana) for tracking drift and performance · Red Hat Quay for secure storage of ML-specific container images KEY RESPONSIBILITIES · Convert architectural blueprints into detailed technical designs for ML pi