General Information Req # WD00083311 Career area: Supply Chain Country/Region: Slovakia State: Bratislavský kraj City: Bratislava Date: Tuesday, June 10, 2025 Working time: Full-time Additional Locations:  * Slovakia Why Work at Lenovo We are Lenovo. We do what we say. We own what we do. We WOW our customers. 
Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, 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 with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). 
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub. Description and Requirements
Are you passionate about leveraging AI and machine learning to tackle real-world logistics challenges? Join our dynamic team and make a significant impact on our fulfillment processes and overall efficiency.
Key Responsibilities:
Design and implement AI/ML models to address logistics challenges such as demand forecasting, inventory management, and anomaly detection.Collaborate with data scientists, analysts, and operations teams to identify opportunities for AI integration in fulfillment processes.Develop scalable machine learning pipelines and deploy models into production environments.Work with large-scale structured and unstructured logistics data to extract actionable insights.Integrate AI solutions with existing logistics platforms and enterprise systems.Monitor model performance and continuously improve accuracy and efficiency.Stay current with advancements in AI, machine learning, and logistics technologies.
Requirements:
0-3 years of experience in a similar role - this position is suitable for fresh graduates.AI and ML experience is a plus.Strong collaboration skills to work effectively with cross-functional teams.Expertise in developing scalable machine learning pipelines.Proficiency in handling large-scale structured and unstructured data.Experience in integrating AI solutions with enterprise systems.Ability to monitor and improve model performance.
Why Join Us?
Be part of a forward-thinking team that values innovation and efficiency.Work on challenging projects that have a direct impact on our logistics operations.Collaborate with talented professionals in a supportive and inclusive environment.Continuous learning and development opportunities to stay ahead in the field.
What we offer: 3 sick days per yearAdditional vacation days100% sick leave compensation up to 2 months per yearA broad selection of soft and hard skills trainings and individual mentoring1:1 contribution to the Third Pillar Pension SystemHome office flexibility upon team agreement
Base gross monthly salary from 1500 EUR, depending on experience + variable part 10% of your annual earnings.
If you're ready to take your career to the next level and contribute to cutting-edge logistics solutions, apply now! We are looking forward to discussing this opportunity with you soon!
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class. Additional Locations:  * Slovakia * Slovakia

AI PROCESSING NOTICE
We use AI-based tools to support some of our processes (e.g. online interviews recordings and transcripts) in order to achieve better efficiency, accuracy and for our documentation purposes. AI can make mistakes, but we always make sure that the outputs are manually reviewed by a human. You can always opt-out or contact us in case of any question.