Senior MLOps Engineer

Description

Summary: Seeking a Senior MLOps Engineer to build and scale machine learning operations, focusing on end-to-end ML pipeline management and model optimization in production. Highlights: 1. Build, automate, and maintain end-to-end ML pipelines 2. Deploy, monitor, and optimize machine learning models in production 3. Collaborate with data and software teams to productionize ML solutions Senior MLOps Engineer We are seeking a **Senior MLOps Engineer**with proven experience in building and scaling machine learning operations in production environments. The ideal candidate must have strong hands\-on expertise with **Databricks** and **MLflow**, as these are core requirements for the role. **What you will do** * Build, automate, and maintain end\-to\-end ML pipelines * Deploy, monitor, and optimize machine learning models in production * Manage experiment tracking, model registry, and lifecycle workflows using MLflow * Collaborate with data scientists, data engineers, and software teams to productionize ML solutions * Improve the reliability, scalability, and governance of ML platforms **What we are looking for** * 5\+ years of experience in MLOps, Machine Learning Engineering, or similar roles * Mandatory hands\-on experience with **Databricks** and **MLflow** * Strong Python skills and experience working with cloud\-based environments * Solid understanding of CI/CD, automation, model deployment, and monitoring * Ability to work cross\-functionally and communicate clearly with technical and non\-technical stakeholders **Nice to have** * Experience with orchestration and infrastructure tools such as Airflow, Docker, Kubernetes, or Terraform * Familiarity with AWS, Azure, or GCP