MLOPs Engineer @ Gilbarco

Job Description

As an MLOps Engineer, you will join the Video Perception team, at the forefront of autonomous vehicle development. Our goal is to sense physical objects in the world using Deep Learning and other cutting-edge technologies

Must Have requirements (Hands On experience):

• Rich hands-on experience in writing object-oriented code using Python
• 3+ years of experience in MLOps and Data engineering, including model versioning, model and data lineage, monitoring, model hosting and deployment, scalability, orchestration, continuous training & deployment, and automated pipelines
• Understanding of Data Structures, Data Systems and data base management, and software architecture
• Experience in using MLOps frameworks like Kubeflow, MLFlow, Airflow Pipelines for building, deploying, and managing multi-step ML workflows based on Docker containers and Kubernetes
• Cloud Exposure: Experience with Azure cloud services, Azure functions, Azure compute environments, etc.
• Build and optimize MLOps pipeline from data curation to automatic model deployment
• Strong DevOps mentality: Knowledge of making a complicated pipeline simple and easy to maintain, with proven experience of Terraform/Spark
• Improve system architecture and infrastructure on Cloud for high-performance and scalable platform.

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Keyskills:   deep learning data curation data structures data engineering database management system architecture cloud azure