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2 months ago
Lenovo is a US$62 billion revenue global technology powerhouse, ranked #217 in the Fortune Global 500, employing 77,000 people around the world, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver smarter technology for all, Lenovo has built on its success as the world’s largest PC company by further expanding into growth areas that fuel the advancement of ‘New IT’ technologies (client, edge, cloud, network, and intelligence) including server, storage, mobile, software, solutions, and services.
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. com , and read about the latest news via our StoryHub .
Description and RequirementsDo you have a passion for building applications that leverage the power of generative AI models to create entirely new forms of interactions? p>
We are building GenAI capabilities for Lenovo cloud software division’s core platform that powers various cloud solutions. p>
This is a great opportunity if you are:
- passionate about generative AI capabilities
- have a strong sense of responsibility and ownership
- resourceful in face of ambiguity and thrive on change
- an independent thinker who can identify problems, solve as well as help others solve them
- an excellent collaborator with solid communication skills, demonstrated by successful cross team collaboration
- able to tackle and help breakdown large AI projects
- able to understand business needs and optimally translate them into AI problems
Responsibilities
- In this role, you will work with the user, device and services data and micro-services to power GenAI applications.
- The data and services you shape will be used to power AI capabilities of the core platform that enables various cloud solutions of the company.
- Mentoring junior engineers and helping grow their technical skills.
- Optimizing GenAI pipelines and models to improve quality and reduce computational time, cost.
- Working with business partners to understand business and product objectives, identify and define the right AI problems that need to be solved, translating them into technical requirements and breaking them down into manageable tasks.
- Collaborating with a multidisciplinary, globally distributed team of professionals that can include Data Scientists, Data Engineers, Business Analysts, Project and Product Management.
Qualifications
- Bachelor’s degree with relevant experience in Computer Science, Information Systems, Engineering, Math or related technical field.
Preferred Qualifications:
- Master’s degree in computer science, Information Systems, Engineering, Math or related technical field.
- Experience with data preprocessing, data augmentation, and handling large datasets.
- Ability to work collaboratively in a team environment and communicate complex technical concepts effectively.
- Experience bringing a GenAI project through prototype, implementation and deployment to production is a plus.