Description Pay Range: $70,000 - $85,000 Beneifts: Medical, dental, vision, sick time and PTO after 90 days! Summary: An energetic and creative role responsible for designing, developing, installing, managing, and maintaining hardware and software systems used
Description Pay Range: $70,000 - $85,000 Benefits: Medical, dental, vision, sick time, and PTO after 90 days! Summary: G.A. Richards is looking for an energetic and creative Application Developer to join our team. Under general supervision,
Senior Manager, Digital Integration & Architecture At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical
Engineering Director, Product Technical Lead The Engineering Director, Product Technical Lead is responsible for product engineering for cloud-based solutions for a Tax service line, including Partnership, Corporate, Indirect, and Strategic Tax Services within BDO. This role focuses
Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS220, T4, Band 7 Job-Specific Essential Duties and Responsibilities: - Execute CVE-based patching by severity across client, server, cloud, and on-prem environments. - Develop, test, maintain, and
Key Responsibilities: • Own and improve the reliability, availability, observability, and operational supportability of Maximus UKs Azure Databricks platform, Azure data services, and associated data pipelines and data products. • Design and implement monitoring, alerting, health checks,
Essential Duties and Responsibilities: - Design and build customer experience and conversational AI solutions, including dialog flows, API integrations and AI agent orchestrations. - Develop and maintain technical integrations between solutions and Maximus technologies such as
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