Principal AI Engineer - Servicing Solutions
Goodleap- Full Time
- Expert & Leadership (9+ years)
Candidates should possess 10+ years of experience in product management with deep expertise in machine learning infrastructure, platforms, or related enterprise AI products, and a strong background in MLOps and production-scale ML systems with hands-on experience in model deployment, pipeline automation, and lifecycle management of ML.
This Principal Product Manager will own the end-to-end strategy and execution of ML infrastructure projects, including MLOps pipelines, model deployment processes, and governance tools for managing AI models, and will develop and implement robust evaluation frameworks and success metrics for machine learning models. They will lead cross-functional efforts for initiatives such as “Bring Your Own Model,” collaborate with internal and external teams, stay up-to-date with AI/ML tools, define and track success metrics, and act as a thought leader in ML Ops and infrastructure, mentoring engineering teams and evangelizing best practices for scalable AI-driven automation.
Robotic process automation software solutions
UiPath provides robotic process automation (RPA) solutions that help businesses improve their efficiency by automating repetitive tasks. Their software allows organizations to create AI-driven workflows and manage these processes through cloud-based orchestration. This means that users can set up automated tasks that run without human intervention, which helps to lower operational costs and boost productivity. What sets UiPath apart from its competitors is its extensive marketplace for third-party integrations, allowing users to enhance their automation capabilities with additional tools and solutions. The main goal of UiPath is to empower organizations to streamline their operations and focus on more strategic activities by reducing the time spent on mundane tasks.