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
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
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
Job Description: Summary: The Software Engineer is responsible for working on projects that are currently being visualized or developed by our organization. This role will be involved with the Software Development Life Cycle methodology and framework,
Overview Job Title: Promotions Tech Department: Promotions Reporting to: Regional Promotions Director Employment Type: Part Time Location(s): Rochester, NY Work Arrangement: On-Site (Office and Remote Locations) Overview: Audacy Rochester seeks a Promotions Technician for outside field
Essential Duties and Responsibilities: - Collaborate with project staff, client office personnel, and community agencies to address and resolve project-related issues effectively. - Deliver public speaking sessions and educational programs to community agencies and local office
Essential Duties and Responsibilities: - Review cases and summarize the facts of each case and assess issues involved in the case to certify or non-certify requested treatments. - Provide written clinical rationales for CA Workers Compensation
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
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
- Train, mentor and coach less tenured change management analysts. - Partner with product management team to see changes through implementation. - Partner with project management team to see changes through implementation. - Communicate directly with