Lead Data Science with ML/Ops (DevOps) Minneapolis ,MN
Mandatory Skills • Design, build and maintain end-to-end (Data/Dev/ML) CI/CD pipeline • DevOps tools such as Ansible, Docker, Kubernetes, Jenkins etc. • MLOps tools such as ModelDB, MLFlow and Kubeflow. • Azure
Job Description :
Mandatory Skills : • Design, build and maintain end-to-end (Data/Dev/ML) CI/CD pipeline • DevOps tools such as Ansible, Docker, Kubernetes, Jenkins etc. • MLOps tools such as ModelDB, MLFlow and Kubeflow. • Azure Responsibilities: • Build, test and maintain the infrastructure and tools to facilitate the consistent and automated AI software solution development and release process. • Design, build and maintain end-to-end (Data/Dev/ML) CI/CD pipeline that automates data collection, data analysis, experimentation, model training, model serving and monitoring in production. Achieve continuous delivery of AI software solution and updates to production at scale. • Develop end-to-end (Data/Dev/ML) Ops pipelines based on in-depth understanding of cloud platforms, AI lifecycle, and business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably. • Collaborate with other data scientists, engineers, product teams and other key stakeholders. • Identify, design, and implement internal process improvements, automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability Requirements : • Minimum +9 years in DevOps, Data Engineering and ML background. Familiar with best practices in the data engineering and MLOps community. • Experience building and maintaining CI/CD pipelines. Demonstrated experience on a broad range of DevOps tools such as Ansible, Docker, Kubernetes, Jenkins etc. • Experience building, deploying and maintaining ML models in production. • Experience with MLOps tools such as ModelDB, MLFlow and Kubeflow. • Familiarity with python tools for data science. • Experience with cloud infrastructure. Experience with Microsoft Azure Platform is a plus. • Excellent communication and teamwork skills. • Ability to collaborate effectively with internal business stakeholders, outside partners and technology teams.
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