AI/ML Engineer

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Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 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).

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We are looking for an experienced AI/ML engineer to develop intelligent features for our hybrid cloud platform, using a wide range of modern AI approaches. This role combines hands-on development, collaboration, and continuous innovation in real-world applications.

Job Responsibilities

• Design and develop intelligent features for Lenovo’s hybrid cloud platform using data analytics, ML-based classification, anomaly detection, time-series forecasting, NLP, and generative AI.
• Collaborate with product managers and engineering teams to clarify requirements and implement scalable, user-focused solutions.
• Perform iteration, evaluation, and testing to continuously improve solutions.
• Leverage company infrastructure for datasets, labelled data, data cleaning, model training, and runtime frameworks.
• Mentor junior team members in implementing these use cases.
  
  

Job Requirements

Experience Education

• 5+ years
• Bachelor’s degree or above
  
  

Skills

• Proficient in Python (Java or Go is a plus)
• Experience with 3+ areas: data modelling, time-series forecasting, classification, anomaly detection, NLP, MLOps, Agentic AI
• Experience with data wrangling (SQL, Python)
• Experience with end-to-end ML system development with strong data-driven evaluation focus
• Experience deploying, monitoring, and troubleshooting AI systems on public or private cloud (preferred)
• Strong communication skills; able to clarify requirements, identify dependencies, and collaborate across teams
• Good English reading ability and strong exploration mindset; able to identify and apply cutting-edge technologies
  
  

Nice to Have

• NVIDIA AI ecosystem (DeepStream, Metropolis, Triton, NeMo, NIMs, TensorRT, CUDA)
• RAG, vector databases, agent orchestration frameworks, LLM architectures
• Real-time streaming data, telemetry systems, event-driven AI architectures
• AI inference optimization, model serving, scalable deployment pipelines for production
  
  

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.