Engineer, Edge Analytics & Machine Learning

Be a part of a revolutionary change. At PMI, we’ve chosen to do something incredible. We’re totally transforming our business and building our future on one clear purpose – to deliver a smoke-free future. With huge change, comes huge opportunity. So, wherever you join us, you’ll enjoy to dream up and deliver better, brighter solutions and the space to move your career forward in endlessly different directions. It’s so rare in electronics industry that everything aligns to create the ideal conditions for outstanding work. Right now, at PMI, that’s exactly what’s happening. This is the driving force for our bold new vision: to replace cigarettes with a revolutionary portfolio of alternative products. Join us and you’ll have the resources, support and technology you need to break new ground and see ideas come to life. You’ll be surrounded by some of the brightest experts in their fields, with fast access to subject experts and commercial decision-makers. If you’re creative, courageous, and ready to take risks, you can make a huge impact and propel your career in an endless number of directions. Ultimately, by delivering our smoke-free and nicotine-future, your work could help accelerate the end of cigarettes. Your ‘day to day’ You will be employed under Philip Morris Electronics Shenzhen (PMES). PMES operates as a subsidiary of Philip Morris International, Inc. You will play a significant role in the development and implementation of data analytic and machine learning algorithm for edge computing, design the data aiming for to understand user behaviors towards target applications. Responsibilities: • Collaborate with product development teams to design, mine and analyze the data required for learning the device & user behaviors. • Research and implement appropriate ML algorithms and tools, develop machine learning applications according to requirements, to train and implement the model into the edge device. • Work with IoT cloud and data analytic teams to distribute the computation resource between cloud and edge. • Continuously improve the model to enhance the user experience & device efficiency. • Track R&D results and to work with research institutions for projects. Who we’re looking for • University degree (MSc, MPhys or PhD) in computer science, mathematics, statistics or similar field. • 3+ years experience in data analytic or machine learning for IoT applications, e.g. automatic temperature control for smart thermostats, predictive device maintenance, etc. • Experiences in data labelling, statistical modelling (regression, clustering), supervised & unsupervised learning, DNN models for different applications. • Experiences in identifying valuable data, data collection method, processing of structured and unstructured data, mining trends & pattern from data, predictive modelling. • Strong mindset of real-time implementation, to ensure the algorithm developed is realistic for real-time & scalable applications. • Hands on experience in coding with Python, R, Java, C++; Software tools, such as TensorFlow/ PyTorch/ Keras/ Caffe/ Spark/ Hadoop/ Hive/ NoSQL. • Good command of English and communication skill. What we offer Our success depends on the men and women who come to work every single day with a sense of purpose and an appetite for progress. Join PMI and you too can: • Seize the choice to define your future and ours. We’ll empower you to take risks, experiment and explore. • Be part of an inclusive, diverse culture, where everyone’s contribution is respected. • Pursue your ambitions and develop your skills with a global business – our staggering size and scale provides endless opportunities to progress. • Take pride in delivering our promise to society: deliver a smoke-free future. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Subject to the terms and conditions of the local job board privacy policies, the candidate’s information registered via the job board will be legitimately accessed by employer and uploaded on employer’s system located outside of People’s Republic of China. Such information can be maintained in the employer’s system even after the closing of this position for future position which may be suitable for candidates. If you want to find out more, please refer to our privacy notice. #Lijobs