Lenovo

Job Responsibilities 

• Responsible for the design and development of intelligent features for Lenovo’s hybrid cloud platform leveraging data analytics, machine-learning based classification, anomaly detection, time-series forecasting, natural-language-process and generative AI.  
• Collaborate with product managers and engineering teams to clarify requirements and implement scalable solutions, keeping in mind user perspective.  
• Iteration, evaluation and testing of developed solutions to improve them iteratively.  
•  Leverage the company’s infrastructure to provide foundational datasets, labelled data, data cleaning processes, model training, and runtime frameworks for the above use cases. 
• Mentor junior team-members to guide them in the implementation of the above use-cases.   

Job Requirements 

• Experience: 12+ years / Education: Bachelor’s degree or above 
• Education: Bachelor’s degree or above 
• Proficient in Python. Knowledge of Java or Go is a plus.  
• Experienced with 3 or more of these specialities – data modelling, time-series forecasting, classification, anomaly detection, natural language processing, ML-Ops, Agentic AI.  
• Experienced with data-wrangling tools such as SQL and Python.  
• Experienced with end-to-end ML system development with a keen focus on data-driven evaluation.  
• Excellent communicator, able to clarify requirements, flag dependencies early and collaborate across teams to push solutions forward.  
• Experience deploying, monitoring and troubleshooting AI-systems on public or private cloud infrastructure is highly preferred.  

• Exposure to NVIDIA AI ecosystem technologies such as DeepStream, Metropolis, Triton Inference Server, NeMo, NIMs, TensorRT, or CUDA-accelerated AI workflows is a plus. 
• Experience with Retrieval-Augmented Generation (RAG), vector databases, agent orchestration frameworks, or LLM application architectures is highly desirable. 
• Experience working with real-time streaming data, telemetry systems, or event-driven AI architectures is beneficial. 
• Experience optimizing AI inference performance, model serving, or scalable deployment pipelines for production environments is preferred. 

What Lenovo Can 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