The Cash Applications Specialist will maintain accurate accounts receivable balances, process daily payments, and reconcile bank entries. They will also communicate with clients to resolve payment inquiries and assist with the overall collections process.
Design and implement mathematical optimization models to solve complex industrial problems such as planning, scheduling, and resource allocation. Collaborate with cross-functional teams to integrate optimization workflows with AI solutions and build scalable production pipelines.
Develop statistical models of industrial systems using sensor data and experimentation to optimize complex processes. Collaborate with the team to translate physical systems into mathematical abstractions and contribute to architectural engineering decisions.
Lead the business and reporting requirements workstream for Group CRM changes by facilitating stakeholder workshops. Document business rules, KPIs, and reporting outcomes while maintaining traceability from decisions to final sign-off.
Technically lead the adaptation and deployment of backend systems to multi-region AWS architectures to ensure high availability. Design and maintain resilient event-driven workflows while collaborating with cross-functional teams using Scrum methodologies.
Lead complex enterprise and Agentic AI programs by coordinating multidisciplinary teams and managing client stakeholders. Ensure predictable delivery across scope, budget, and quality while driving the full lifecycle of AI use cases.
The specialist will manage customer accounts receivable balances, process daily payments, and reconcile banking reports. They will also communicate directly with clients to resolve payment inquiries and maintain accurate financial records.
You will preprocess and prepare datasets while developing and integrating machine learning models for industrial equipment. Additionally, you will design experiments to evaluate model performance and collaborate with domain experts to implement production-ready solutions.
Gather and analyze complex tax and regulatory requirements to design and implement SAP SD and DRC solutions. Collaborate with cross-functional teams to support global rollouts, e-invoicing compliance, and post-go-live operations.
You will monitor and support customer-facing network services on public cloud infrastructure while troubleshooting connectivity issues and service disruptions. Additionally, you will collaborate with engineering teams to resolve technical incidents and document all troubleshooting findings and operational actions.
Lead the migration and deployment of backend systems into a highly available, multi-region AWS environment. Design and evolve scalable event-driven architecture solutions while collaborating with cross-functional teams to ensure code quality and system performance.
Lead the complete ASIC development lifecycle, including system architecture, IP evaluation, and manufacturing strategy. Collaborate with internal and external partners to optimize performance, power, die size, and production costs.
Design and implement mathematical optimization models to solve complex industrial problems such as planning, scheduling, and resource allocation. Collaborate with cross-functional teams including software engineers and data scientists to integrate optimization solutions into scalable production environments.
Develop and implement machine learning and advanced analytics models using Python, PySpark, and SQL to generate actionable insights. Collaborate with engineering teams to operationalize analytical solutions on cloud platforms while ensuring model performance and explainability.
Take technical ownership of business-critical web applications by designing and maintaining backend services and integrations. Collaborate with cross-functional teams to drive engineering standards, perform code reviews, and mentor software engineers.
Develop and optimize data solutions within Snowflake while building and maintaining robust data pipelines. Monitor system performance and collaborate with data engineers and analysts to ensure data security and governance.
Build and maintain secure, scalable AWS infrastructure to support a production agentic AI platform. Develop Python services and REST APIs while managing cloud infrastructure using infrastructure-as-code practices.
The Senior UX Researcher will plan and execute end-to-end research strategies to drive product discovery and design initiatives. They will synthesize qualitative and quantitative data into actionable recommendations while collaborating closely with cross-functional product and design teams.
The role involves providing advanced L2/L3 application support and ensuring the operational stability of mission-critical systems within the life sciences industry. You will manage deployment packages, resolve technical incidents, and maintain systems in a validated state under strict GxP standards.
The role involves identifying and assessing high-value business opportunities within pharmaceutical manufacturing to support business case creation. You will design business process flows, document user stories, and facilitate alignment between business stakeholders and technical teams to ensure successful system integration.
Maintain and enhance existing Java applications while developing new features based on business requirements. Collaborate with remote teams and utilize AI development tools to improve efficiency in software maintenance and support.
Design and implement new features while improving existing Java applications to meet business requirements. Collaborate with cross-functional teams and customers to manage databases, messaging systems, and infrastructure using AI-augmented development tools.
Design, develop, and maintain large-scale, highly available, real-time Java applications for a streaming platform. Collaborate with international engineering and product teams to resolve performance challenges and implement robust technical solutions.
Install, configure, and maintain Linux/Unix-based servers across physical and virtual environments to ensure system stability and performance. Monitor system health, implement security hardening, and manage backup and disaster recovery procedures.
You will be responsible for verifying design documents and translating application specifications into modular code. Additionally, you will devise solutions to technical problems and evaluate various architectural options.
Design, develop, and maintain scalable backend services using PHP frameworks like CakePHP or Laravel. Collaborate with cross-functional teams to build data-driven healthcare platforms and optimize SQL database schemas.
Research and validate machine learning approaches for vessel detection using Distributed Acoustic Sensing (DAS) and AIS data. Develop scalable AI pipelines and proof-of-concept systems on Google Cloud to monitor subsea infrastructure.
Design, develop, and scale AI/ML solutions with a focus on Generative AI, including RAG-based systems and conversational bots. Collaborate with cross-functional teams to translate business needs into production-ready AI tools that enhance customer experience and operational efficiency.
The role involves designing, developing, and maintaining robust and scalable data pipelines using ETL/ELT processes. Responsibilities also include building and optimizing data architectures and models while ensuring high data quality and reliability across systems.
