.The Company:HP is a Fortune 100 technology company with $58+ Billion in revenue, with over 50,000 employees operating in more than 170 countries around the world. We provide technology and services that help people and companies address their problems and challenges, and realize their possibilities, aspirations and dreams. We apply new thinking and ideas to create simpler, more valuable and trusted experiences with technology, continuously improving the way our customers live and work.Position Background:In the Go To Market Analytics Centre of Excellence our mission is to deliver impact by building machine learning products to optimize pricing and marketing investments and provide guidance to our sales organization. The products we are building are of high value to the company, with the ambition to affect the pricing decisions and marketing investments for all of HP products, globally and across all distribution channels, utilizing advanced analytics, machine learning and AI.To get there, we are looking for a ML Cloud Engineer to implement best engineering practices and to turn data from a raw resource into structured, scalable, high-quality, and compliant fuel feeding our AI-powered products and solutions.Please note that it's a fixed-term role with a 12 month contract. Extension to permanent position is possible but not guarantee.What makes us stand out:Best in class Technologies.Diverse learning opportunities.Super collaborative environment and international experience.About you:Curiosity, explore new topics.Rigorous, synthetic, methodical.Self-starter with intellectual curiosity.Team lead with a balance profile between Computer Science and ML Cloud Engineering.Responsibilities:Design and implement CI/CD pipeline architectures in all stages (design, analysis, coding, testing and pipeline integration).Usage of several Python, Cloud and ML tools to deploy ML models into Development, Stage and Production environments.Monitor product health, performance and business impact and act accordingly when requirements are not met.Work with business stakeholders with diverse backgrounds and own team-level objectives, building and managing relationships through the organization.Own operational excellence objectives targeting reliability, quality, and release cadence, while perfecting operational economies of scale through extreme automation.Ensure compliance of code standardization, systems, and products with infrastructure policies (incl. privacy), architecture, security and quality guidelines and standards.Co-design and lead architecture evolution activities through innovation and adoption of new technologies.Collaborate and communicate with project team regarding project progress and issue resolution.Provide guidance and mentoring to less experienced staff members