Data Science Lead
3 weeks ago
**Job Description:**
• Build, test, and maintain infrastructure and tools for consistent and automated AI software solution development and release process.
• Design, build, and maintain end-to-end (Data/Dev/ML) CI/CD pipelines that achieve continuous delivery of AI software solutions and updates to production at scale.
• Collaborate with other data scientists, engineers, product teams, and stakeholders to deliver analytics solutions efficiently, predictably, and sustainably.
**Requirements:**
• Minimum +9 years in DevOps, Data Engineering, and ML background with experience in best practices in the data engineering and MLOps community.
• Experience building and maintaining CI/CD pipelines with expertise in Ansible, Docker, Kubernetes, Jenkins, etc.
• Experience deploying and maintaining ML models in production with knowledge of MLOps tools like ModelDB, MLFlow, and Kubeflow.
• Familiarity with Python tools for data science and cloud infrastructure experience, particularly with Microsoft Azure.
The estimated salary for this position is $140,000 - $180,000 per year, depending on qualifications and experience.
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