Analytics / MLOps Architect

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Why Work at Lenovo

• Here at Lenovo, we believe in smarter technology for all, so we spend our time building a society that’s brighter and more inclusive. And we go big. No, not big—huge. 
• We’re a US$60 billion revenue Fortune Global 500 company serving customers in 180 markets around the world. Focused on a bold vision to deliver smarter technology for all, we are developing world-changing technologies that power (through devices and infrastructure) and empower (through solutions, services and software) millions of customers every day and together create a more inclusive, trustworthy and sustainable digital society for everyone, everywhere. 
• The one thing that’s missing? Well… you..Description and Requirements
• Lenovo (HKSE: 992) (ADR: LNVGY) is a US$60 billion revenue Fortune Global 500 company serving customers in 180 markets around the world. Focused on a bold vision to deliver smarter technology for all, we are developing world-changing technologies that power (through devices and infrastructure) and empower (through solutions, services and software) millions of customers every day and together create a more inclusive, trustworthy and sustainable digital society for everyone, everywhere. To find out more visit https://www.lenovo.com,and read about the latest news via our StoryHub

Responsibilities:

• Bring your deep expertise in cloud architecture / DevOps to analyze and recommend enterprise-grade solutions for operationalizing AI / ML analytics
• Develop end-to-end (Data/Dev/ML) Ops pipelines based on in-depth understanding of cloud platforms, AI lifecycle, and business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably
• Act as a thought leader within the company, educating the data science community around model monitoring, analytics governance, and MLOps
• Craft and communicate strategic plans and requirements for migration of existing analytics projects to Lenovo’s AI platform and develop governance to ensure consistency of MLOps practice within Lenovo
• Act as an effective liaison between Platform development, Data Engineering, DevOps and Data Science teams
• Use your judgment to craft solutions to complex problems or seek guidance as needed
• Be a trusted advisor to your colleagues and to internal Analytics practicing teams
• Prototype and demonstrate solutions as needed for internal teams

Main Requirements

• 5+ years of data science, analytics implementation experience, with 2+ years of experience on any single AI Platform (AWS Sagemaker/Azure ML etc).
• Experience in the ML/DevOps
• Good understanding of machine learning methodology and data engineering process
• Excellent organizational, communication, writing and interpersonal skills
• Computer Science degree or equivalent experience
• Desired Skills
• Hands-on experience building and implementing predictive models using machine learning algorithms.
• Familiarity with Docker, AWS, Azure ML Ecosystems