Design, build and deploy AI-powered applications to support M&A and transaction advisory.
Responsibilities
Partner with deal teams to identify high-impact AI opportunities
Design, build and deploy AI-powered applications using large language models, retrieval-augmented generation, agentic workflows and modern AI engineering practices
Deliver prototypes and shipping working solutions within tight deal timescales
Collaborate directly with clients and engagement teams to adapt solutions to transaction-specific needs
Integrate AI solutions with internal and external data sources, APIs and business workflows
Requirements
Degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related field
Shaping the platform that enables the next generation of agentic retail operations across IKEA and its franchisees, combining strategic thinking with hands-on leadership to define vision and roadmap while advancing capabilities in the Microsoft ecosystem.
Responsibilities
Define and communicate the platform vision, roadmap and priorities to stakeholders and platform users.
Lead backlog management, release planning and prioritisation to ensure the platform delivers value to developers and digital products.
Collaborate with product teams, architects, suppliers and developers to remove dependencies, solve challenges and continuously improve platform capabilities.
Lead a team that combines platform engineering with hands-on support to the business.
Turn what the engineers learn into reusable capabilities, patterns and platform improvements.
Requirements
Nice to have: building or managing internal platforms
Build and operate reliable Android applications and release processes that deliver secure, high-quality, accessible mobile experiences aligned with traveler and partner outcomes.
Compensation
The total cash range for this position in Chicago is $111,000.00 to $155,500.00. Employees in this role have the potential to increase their pay up to $177,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Responsibilities
Build, enhance, and maintain Android mobile experiences that deliver reliable, intuitive outcomes for travelers and partners.
Translate product requirements into well-structured, maintainable code using appropriate Android development practices and technical judgment.
Contribute to low-level system design, API integration, data modeling, testing, and code reviews within an assigned service or product area.
Collaborate across engineering, product, design, and other technical domains to deliver cohesive mobile capabilities and resolve complex technical issues.
Monitor, troubleshoot, and improve application performance, reliability, security, and operational health throughout the development lifecycle.
Requirements
Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
At Expedia Group, we help travelers explore the world, one journey at a time.
Compensation
The total cash range for this position in Chicago is $111,000.00 to $155,500.00. Employees in this role have the potential to increase their pay up to $177,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Responsibilities
Build, enhance, and maintain Android mobile experiences that deliver reliable, intuitive outcomes for travelers and partners.
Translate product requirements into well-structured, maintainable code using appropriate Android development practices and technical judgment.
Contribute to low-level system design, API integration, data modeling, testing, and code reviews within an assigned service or product area.
Collaborate across engineering, product, design, and other technical domains to deliver cohesive mobile capabilities and resolve complex technical issues.
Monitor, troubleshoot, and improve application performance, reliability, security, and operational health throughout the development lifecycle.
The Professional, Application developer – Regional Applications role provides hands-on engineering and application ownership for business-critical applications that support business operations across the MEETA region.
Responsibilities
Own day-to-day technical operation of assigned regional business applications.
Maintain service health and support business value through incident, request, and problem management.
Perform hands-on application configuration, maintenance, testing, and controlled deployment of changes.
Use code or scripting to troubleshoot, automate, or improve application processes.
Investigate and resolve application and interface issues affecting regional business users.
Accountable for leading the enterprise delivery of AI-enabled solutions that enable productivity, automation, decision-making, and functional transformation across the organisation.
Responsibilities
Lead the end-to-end delivery of enterprise AI solutions from concept through production, adoption, and scale.
Shape and manage AI delivery roadmaps, priorities, backlogs, governance checkpoints, releases, and delivery metrics.
Partner with senior business leaders to identify high-value AI opportunities and translate them into clear, actionable delivery plans.
Lead, coach, and develop a high-performing team of AI Engineers, managing capacity, priorities, and capability development.
Oversee the delivery of AI agents, copilots, generative AI applications, workflow automation, machine learning solutions, and enterprise AI integrations.
Requirements
Nice to have: agile delivery
Nice to have: product management
Nice to have: governance
Nice to have: cross-functional programme execution
AI Engineer in team Data & Insight, responsible for designing, developing and industrializing Machine Learning, Generative AI and Agentic AI solutions across business units.
Compensation
retribuzione annua lorda a partire da 43.000 euro
Responsibilities
Translate business needs into AI requirements and solutions
Provide support in designing and developing AI applications
Support industrialization and integration of models, agents and services
Define testing, evaluation, monitoring and continuous improvement approaches
Ensure quality, security, maintainability, scalability and economic sustainability of solutions
Requirements
Laurea magistrale in Informatica, Ingegneria Informatica o altre discipline STEM
Looking for a Senior Machine Learning Engineer to join the Search and Recommendations team to build the next generation of AI-powered fashion experiences, focusing on recommendation systems, personalisation, and deep learning.
Responsibilities
Design, build and operate production machine learning systems that power outfit discovery and personalised fashion experiences.
Partner with Machine Learning Scientists to deploy deep learning models and deliver meaningful customer and business outcomes.
Deploy and optimise batch and real-time machine learning models serving millions of customers.
Contribute to systems that power recommendations, personalisation and AI-driven fashion discovery experiences across ASOS.
Improve system performance, reliability, observability and scalability across the machine learning lifecycle.
Lead data science initiatives for Mastercard’s Business & Market Insights team, developing AI/ML models and solutions to drive product innovation and market insights.
Responsibilities
Drive the evolution of Business & Market Insights products by applying Data Science and Artificial Intelligence to create models, tools and capabilities
Participate in the exploration, application and development of data science for product development
Participate in identification and evaluation of AI/ML techniques and tools to deliver models and analytics for product development
Continuously innovate and determine new data science approaches & technologies to solve business problems and generate business insights & recommendations
Partner with roles across the organization including product, engineering, and sales to determine the highest priority data science problems to solve in a customer-centric framework
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Senior Data Scientist (AI, ML, Pyspark, SQL)Mastercard · Pune, India