Python Job: Machine Learning Engineer

Builds machine learning workflows and infrastructure necessary to productize AI models and sustain them in production. Responsible for preparing data for ML models at scale, building appropriate inference interfaces for ML model consumption, enabling ML Ops for continuous delivery and automation of ML pipelines, integrate AI algorithms to solve applied problems in various disciplines such as data analytics and computer vision by utilizing current programming methodologies to translate machine learning models and data processing methods into software, and/or building and sustaining AI productization platforms.

You will become part of a company which continues to change the world through its brilliant people. To reward the amazing contributions of our people we offer a market competitive compensation & benefits package including plenty of family and flexible work benefits (i.e. the opportunity for part time home office work), programs that focus on your health and wellbeing, many development opportunities and enough time to relax, re-charge and retreat.

We believe in flexible working models (i.g. hybrid). Intel is an equal opportunity employer.

Qualifications

Minimum Qualifications:

• Experience in C++(main language)/Python languages

• Major in mathematics, statistics, or data science

• Basic practical experience in machine learning/data science

The following qualifications would be an added advantage:

• Knowledge of Windows and Linux development environment

• Knowledge of Intel development tools and libraries

• Knowledge of development on GPU

Enable amazing computing experiences with Intel Software continues to shape the way people think about computing – across CPU, GPU, and FPGA architectures. Get your hands on new technology and collaborate with some of the smartest people in the business. Our developers and software engineers work in all software layers, across multiple operating systems and platforms to enable cutting-edge solutions. Ready to solve some of the most complex software challenges? Explore an impactful and innovative career in Software.