MLOps Automation Senior Lead Engineer
Core
Lead a team in building and deploying MLOps Automation to streamline the data, analytics, and model development lifecycle for challenging data-driven projects.
Role type
Senior Lead MLOps Automation Engineer
Builds
Unattended delivery pipelines for data and model builds
Domain
Financial Services / MLOps / Data Engineering
Deliverable
production ML models
Required skills
Technical leadership, strategy formulation, automation engineering, CI/CD tooling, cloud platform management, container orchestration, automated testing, environment provisioning, production monitoring, cross-functional collaboration
Preferred skills
DataOps and ModelOps principles, agile development, configuration management, test-driven development, release management, financial services domain knowledge
Technologies
Jenkins, Artifactory, CircleCI, Ansible, AWS, Azure, Docker, Kubernetes, Python, JavaScript, C++, Java
Responsibilities
Identify pain points in the data and model development lifecycle to resolve through automation; set strategy and vision for MLOps Automation; develop automation solutions to extend existing processes into unattended delivery pipelines; collaborate with product, architecture, data engineering, and testing teams to improve build and release processes; partner with operations, QA, and security to streamline processes; build automated testing, environment provisioning, and feedback mechanisms; analyze and troubleshoot complex production issues; promote automation across the organization.
Seniority
Senior, hands-on IC with leadership responsibilities