The intern will provide administrative and operational support to Account Delivery Managers, including managing account assignment requests and system updates. They will also perform data analysis using Excel and Power BI while exploring AI tools to optimize daily workflows.
Design, build, and maintain efficient, reusable, and reliable code for React/Next.js applications. Collaborate with cross-functional teams including BA, QA, and offshore developers to plan, develop, and test mobile and desktop applications.
Design and implement complex BI dashboards and reporting solutions while optimizing Looker reports and data models. Coordinate with cross-functional teams and mentor developers to ensure technical designs meet quality, security, and performance standards.
Lead data, analytics, and AI solutioning activities for strategic sales opportunities while designing end-to-end AI architectures. Collaborate with sales teams to develop account growth strategies and represent the company during customer workshops and executive presentations.
You will design, develop, and deploy Copilot Studio agents integrated with enterprise data sources and build intuitive Power Apps to solve business problems. Additionally, you will automate workflows using Power Automate and implement Application Lifecycle Management (ALM) for robust solution deployment.
You will architect and evolve the core M&O platform by integrating SRE principles and automating infrastructure through CI/CD pipelines. Additionally, you will implement advanced data quality monitoring and FinOps practices to ensure system reliability and cost-efficient cloud resource management.
The intern will provide administrative and operational support to Account Delivery Managers, including managing team mailboxes and updating internal trackers. They will also assist with system updates, data reporting, and the implementation of AI tools to streamline workflows.
The role involves leading end-to-end supply chain consulting engagements, including presales activities, RFP responses, and client discovery. You will act as a bridge between business stakeholders and technical teams to design and implement scalable, data-driven supply chain solutions.
Design, develop, and maintain backend services and microservices using Python and cloud-based solutions. Collaborate within an Agile/Scrum team to implement CI/CD pipelines and manage production environments using Docker and Kubernetes.
The consultant will build and maintain complex LCA models while ensuring adherence to international standards and sustainability KPIs. They will also bridge the gap between stakeholder requirements and technical execution by developing automated, AI-driven sustainability solutions.
Design and implement complex BI dashboards and reporting solutions while utilizing Google BigQuery and GCP services. Review technical designs, mentor team members, and collaborate with stakeholders to align solutions with business requirements.
The role involves acting as a lead developer on Power Platform projects, designing and implementing complex solutions across the Power Platform suite. You will also be responsible for mentoring junior staff and managing the full solution implementation lifecycle from requirements gathering to maintenance.
Design and implement production-grade AI systems, including LLM-based experiences, retrieval pipelines, and agentic workflows. Collaborate with product teams to build shared AI capabilities and define evaluation-driven development loops for reliability and performance.
The Solution Architect will design end-to-end data and analytics platforms while acting as a trusted technical advisor to clients. The role involves a balanced split between hands-on project delivery and presales activities such as solution scoping and proposal creation.
Design, develop, and maintain backend services and microservices using Python within a Microsoft Azure environment. Collaborate in Agile/Scrum teams to implement CI/CD pipelines, manage cloud-based solutions, and optimize data workflows using Azure Databricks.
The role involves maintaining the observability platform, including monitoring infrastructure with Grafana and Prometheus. Additionally, the engineer will manage CI systems, pipelines, and implement automated performance and diagnostic features.
Design end-to-end data and analytics architectures while acting as a trusted technical advisor to clients. Balance hands-on project delivery with presales activities, including solution scoping, proposal creation, and stakeholder management.
Design and implement scalable data pipelines and processing systems on the Azure platform to ingest, transform, and clean large volumes of data. Collaborate with cross-functional teams, including data scientists and business stakeholders, to provide optimized data solutions and technical guidance.
You will be responsible for monitoring infrastructure using tools like Grafana and Prometheus while implementing automated management features. Additionally, you will manage CI/CD pipelines and design cloud infrastructure solutions.
Design, develop, and maintain scalable automated test solutions for web applications and APIs using Playwright. Integrate these tests into CI/CD pipelines while collaborating with development teams to ensure high software quality.
The role involves supporting end-to-end supply chain growth through presales activities, RFP responses, and client discovery. You will act as a bridge between business stakeholders and technology teams to design and implement scalable, data-driven supply chain solutions.
Develop and maintain React/Next.js applications while ensuring high performance and code quality. Collaborate with cross-functional teams including BA, QA, and offshore developers to deliver mobile and desktop solutions.
Design, build, and maintain efficient React/Next.js applications while ensuring optimal performance and responsiveness. Collaborate with cross-functional teams in an agile environment to develop mobile and desktop web applications.
Lead end-to-end supply chain transformation activities, including presales, RFP responses, and functional solution design. Act as a bridge between business stakeholders and technical teams to translate complex supply chain challenges into scalable, technology-enabled solutions.
Lead the design and architecture of Business Intelligence reporting and Power Platform solutions. Oversee technical quality through code reviews, project planning, and stakeholder communication.
Design and implement complex Power BI and Looker dashboards while optimizing data models using Google BigQuery. Lead technical designs, conduct code reviews, and collaborate with stakeholders to align BI solutions with business requirements.
Define and apply evaluation-driven development loops for AI systems focusing on quality, reliability, and cost. Collaborate with product teams to prototype scalable AI building blocks and implement AI-native engineering practices.
Design, develop, and maintain scalable server-side logic and APIs for web applications. Manage database schemas and implement security best practices to ensure application performance and protection.
Act as the first point of contact for IT support requests, managing and resolving tickets via JIRA. Responsibilities include hardware and software troubleshooting, IT asset lifecycle management, and coordinating onboarding and offboarding processes.
The consultant will design and deliver edge-to-cloud industrial architectures, bridging OT systems with cloud platforms to enable data-driven manufacturing use cases. They will provide technical leadership, validate implementation plans, and ensure robust cybersecurity and interoperability across global manufacturing sites.
The consultant will build and maintain complex LCA models while translating findings into actionable business recommendations and sustainability KPIs. They will also lead technical initiatives to automate LCA processes using cloud platforms and AI-driven solutions.
The role involves partnering with leadership to shape customer Data Management (DM) strategy and leading the development of modern DM solutions covering ingestion, transformation, orchestration, and governance. Key duties include driving innovation through experimentation, POCs, and leveraging emerging technologies like AI/ML, while also coaching junior team members.
The role involves designing, developing, and maintaining server-side logic, implementing scalable components and APIs, and working extensively with relational and/or NoSQL databases for efficient data storage and retrieval. Responsibilities also include integrating third-party APIs, implementing security best practices, optimizing code for speed, and collaborating with front-end teams.
