Staff ML Application Developer

Job Description

What you get to do in this role: The AI Platform Team works within the Enterprise Data and Analytics Organization at ServiceNow driving the ability to democratize AI and machine learning to unleash data driven decisions across the enterprise, helping teams build high-value AI/ML products, and enable the operationalization and reliability of all AI. We are searching for a driven and highly skilled MLOps Engineer to join our AI Platform team at ServiceNow. The role will build the AI Platform, build self-service ML Development tooling, and building platform adoption. You have ideas on how to create a great user experience for those building , deploying, and operationalizing production quality AI models. We have a team of people just as excited. Join us. Responsibilities: Define scalable and secure architectures, frameworks and pipelines for building, deploying and diagnosing production ML applications. Enable users teams on the ML platform; troubleshoot and debug user issues; maintain user-friendly documentation and training. Collaborate with entire MLOps Platform team to build a comprehensive MLOps Platform. Design and implement cloud solutions and build MLOps pipelines on cloud solutions (e.g., MS Azure) Develop standards and examples to accelerate the productivity of data science teams. Write code, refactoring, optimizing, containerization, deployment, versioning, and monitoring of its quality, including data concept drift. Create way to automate the testing, validation, and deployment of data science models. Mentor Junior MLOps Engineers and help teach them to be better coders, debuggers, and engineers. Provide best practices and execute POC for automated and efficient MLOps at scale. Qualifications Requirements: 8+ years of related experience with a Bachelors degree, Masters degree or PhD or equivalent work experience. 8+ years of experience working with an objec