AI ML Architect

Description and Requirements 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. Nice to have: 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 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.