AI/ML Engineer

This role is a full-time position focused on designing and delivering intelligent capabilities for Lenovo’s hybrid cloud platform. The ideal candidate is an experienced Cloud AI/ML engineer who enjoys solving complex problems at scale and collaborating closely with product and engineering partners. The role has an international scope and works in close collaboration with global teams in a hybrid working environment.

Key Responsibilities

• Design and develop intelligent features for Lenovo’s hybrid cloud platform using machine learning, data analytics, and generative AI techniques.
• Build and apply models for classification, anomaly detection, time-series forecasting, and natural language processing across platform use cases.
• Collaborate with product managers and engineering teams to translate requirements into scalable, user-centric AI solutions.
• Contribute to the full AI lifecycle, including experimentation, iteration, evaluation, and continuous improvement of models.
• Leverage Lenovo’s data and cloud infrastructure to enable data ingestion, labeling, cleaning, training, and inference workflows.
• Implement robust evaluation frameworks to ensure models meet accuracy, reliability, and performance expectations.
• Support deployment of AI solutions into production environments with a focus on stability and scalability.
• Mentor junior team members and provide technical guidance on AI/ML best practices and implementation approaches.

Position Requirements

• Bachelor’s degree or higher in Computer Science, Engineering, Data Science, or a related field.
• Minimum of 5 years of professional experience in AI/ML engineering or applied machine learning roles.
• Strong proficiency in Python; working knowledge of Java or Go is considered an advantage.
• Hands-on experience in at least three of the following areas: data modeling, time-series forecasting, classification, anomaly detection, natural language processing, MLOps, or agentic AI.
• Experience with data wrangling and analysis using tools such as SQL and Python.
• Proven experience delivering end-to-end machine learning systems with a strong focus on data-driven evaluation.
• Experience deploying, monitoring, and troubleshooting AI systems on public or private cloud infrastructure is highly preferred.
• Excellent communication skills, fluent English reading and communication ability, and a proactive mindset for exploring and applying emerging technologies.

What can Lenovo offer you:

Compensation & Rewards

• Performance-based salary reviews and annual bonuses
• Meal tickets, service anniversary awards, and referral bonuses
• Employee share purchase program
• Scholarships for employees’ children

Health & Well-being

• Fully covered private medical insurance
• Annual well-being allowance for sports, training, relaxation, and therapy, and on-site chair massage
• Life & accident insurance with extra medical coverage
• Employee Assistance Program

Training & Development

• Technical Ladder & Sales Excellence programs
• Individual Career Development Plans with mentoring
• Bookster subscription for continuous learning

Time Away

• 21-28 vacation days depending on tenure
• Sick days and extra paid leave for public holidays on weekends
• Additional paid leave for employees with children

You will report to SSG (Solutions & Services Group) organization structure.

SSG has been focusing on the expanding IT service market, especially the digital workplace services opportunity, the growing demand for aaS (as a Service) model, and customers’ stronger preference for sustainability services. Meanwhile, SSG has continued to invest in software tools, platforms, and repeatable vertical solutions with our own IP, and focus on vertical solutions in manufacturing, retail, healthcare, education, and Smart City. We are expanding TruScale as a Service to include Digital Workplace Solutions, developing our Hybrid Cloud solutions, and exploring Metaverse solutions

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.