Product Owner – Analytics as a Service Position Summary The Product Owner is responsible for defining, prioritizing and continuously evolving Qualitrols Analytics as a Service portfolio for rotating machines, grid monitoring and future analytics services. This
SaaS Architect – Analytics Platform Position Summary The Founding SaaS Architect is responsible for defining and evolving the technical architecture for Qualitrols Analytics as a Service platform. This individual will establish the engineering standards, architecture and
Product Engineer – Analytics as a Service Position Summary The Product Engineer is responsible for rapidly designing, building and delivering cloud-native analytics services that create measurable customer value. The engineer will operate as a full-stack product builder
Company Description Artificial Intelligence. Automation. Cloud Engineering. Advanced Analytics. For Enterprises, these are key factors of success. For us, theyre our core expertise. We work with global iconic brands. We bring them a unique value proposition through
Lead data design, prototype, and development of data pipeline architecture pipelines. Lead implementation of internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability. Lead cause analysis on external and internal processes
The Principal Data Engineer serves as a hands-on technical authority responsible for defining and implementing enterprise-scale data architecture and engineering strategies while actively contributing to solution design, development, optimization, and technical delivery. As part of an
Mindex is looking for a CT-MTSS Engineering Lead to lead the engineering team responsible for our ClearTrack and MTSS Edge products. This is a hands-on player/coach role where youll combine people leadership with technical execution, guiding
Mindex is looking for a SchoolTool Software Engineering Manager to lead multiple engineering teams responsible for the continued development and evolution of our SchoolTool platform. This role combines people leadership, technical strategy, and operational excellence to
AI/ML Engineers at Mayo Clinic play a pivotal role in the union of data, systems, and computer sciences. They work closely with a multidisciplinary team, including clinicians, user experience designers, product managers, IT professionals, and external
Provides support for vended and custom applications, including resolving highly complex issues, and assists with data security, redundancy, and support in collaboration with more senior technical staff. Conducts root-cause analysis by researching hardware environment and software application and
This is a limited tenure position that has been approved for 2 years. This is a hybrid position and must be located within 100 miles of a Mayo Clinic campus for occasional on-site expectations based on
The Cardiovascular Systems Unit is seeking a Software Engineer to support AI and research initiatives by operationalizing machine learning solutions, developing cloud-hosted applications, integrating clinical systems, and partnering with data scientists, researchers, and clinical stakeholders. Success in this
Hours: 40 Schedule: This position is hybrid and remote eligible for up to 40% of the time. The office location for this position is at ESL Corporate Headquarters in Rochester, NY. Monday - Friday 8:00 a.m.
Business Development Executive (Remote - US Based) Artificial Intelligence. Automation. Cloud Engineering. Advanced Analytics. For Enterprises, these are key factors of success. For us, theyre our core expertise. We work with global iconic brands. We bring them
Mindex is looking for a Data Engineer who enjoys building modern cloud-based data solutions that help organizations make smarter business decisions. In this role, youll develop scalable data pipelines, integrate data from multiple business systems, and deliver
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side