AI and Data Science Deployment Expert

**Job Title:** AI and Data Science Deployment Expert

Are you a seasoned professional with expertise in deploying artificial intelligence and data science solutions? Do you thrive in a fast-paced environment that brings together scientific, clinical, and commercial domains through engineering, data science, and analytics? Join a dynamic organization where you can leverage cutting-edge technology to inform critical business decisions and improve customer experiences.

Our team leads the scaling of data and insights capabilities - critical drivers and enablers of our digital transformation. As an AI and Data Science Deployment Expert, you will be responsible for driving the deployment of AI use cases and reusable components into full production. You will lead a global team and partner with cross-functional business stakeholders and leaders to catalyze identification, design, iterative development, and continuous improvements of deployment processes to support production data science workflows and AI applications.

Your team will define and implement standard processes for quality assurance, testing, data ops, model ops, and dev ops while also providing SDLC, support, platform engineering, and cloud engineering guidance as needed. In addition, you will be responsible for providing critical input into the AI ecosystem and platform strategy to promote self-service, drive productization and collaboration, and foster innovation.

Key Responsibilities:

• Lead deployment of production AI solutions and reusable software components with automated self-monitoring QA/QC processes
• Implement QA and testing, data ops, model ops, and DevOps for data science workflow products, industrialized workflow accelerators, and best practices in the production deployment of scalable AI/ML analytic insights products
• Enforce best practices for QA and testing and SDLC production support to ensure reliability and availability of deployed software
• Act as a subject matter expert for production deployment processes of data science workflows, AI solutions, and reusable software components on cross-functional teams in bespoke organizational initiatives by providing thought leadership and execution support
• Direct QA and testing, data ops and model ops, DevOps, platform and cloud engineering research, advance data science workflow CI/CD orchestration capabilities, drive improvements in automation and self-service production deployment processes, implement best practices, and contribute to the broader talent-building framework by facilitating related trainings
• Set a vision, prioritize workstreams, and provide day-to-day leadership, supervision, and mentorship for a global team with technical & functional expertise that includes QA and testing, DevOps, data science, and operations

Requirements:

• Bachelor's degree in AI, data science, or engineering-related area (Computer Engineering, Computer Science, Information Systems, Engineering, or a related discipline)
• 10+ years of work experience in data science, engineering, or operations for a diverse range of projects
• 2-3 years of hands-on experience leading data science or AI/ML deployment and operations teams
• Track record of managing stakeholder groups and effecting change
• Recognized by peers as an expert in production deployment and AI/ML ops with deep expertise in CI/CD and DevOps for monitoring and orchestration of data science workflows, and hands-on development

Benefits:

• Competitive compensation and benefits package
• Opportunity to work with a dynamic team of professionals
• Professional growth and development opportunities

If you are a motivated and experienced professional looking for a new challenge, please submit your application today.