Job DescriptionThe AI Solutions Group organization delivers end-to-end AI solutions that significantly enhance Intel's key performance indicators.
In collaboration with their partners across Intel, the team has implemented more than 2,000 solutions within critical areas of Intel's products and across the entire product life cycle, from development to manufacturing.The hiring team belongs to AISG organization, the main scope are services to enhance the work for pricing groups at Intel.In this role responsibilities include, although not limited to: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 interfaces for ML model consumption, enabling ML Ops for continuous delivery and automation of ML pipelines, and/or building and sustaining AI productization platforms.In addition to the qualifications listed above, the ideal candidate will also have:Highly motivated strong team player with the ability to work both independently and collaboratively within a team.Has strong analytical skills, including the abilities to scope out business problems to be solved, start from ambiguous problem statements, identify, and access relevant data, make appropriate assumptions, perform insightful analysis and draw conclusions relevant to the business problem.Ability to present information professionally + concisely with supporting data.QualificationsMinimum Qualifications:The candidate must have a bachelor's degree in Machine Learning, or AI, or computer science and 5+ years of experience -OR- a master's in Machine Learning, or AI, or Data Science Engineering discipline:3+ years of experience developing applications or systems using PythonKnowledge of classical Machine Learning algorithmslinear regressionclusteringKnowledge of ML algorithm evaluationlearning vs validation vs test error interpretation3+ years of experience in building AI/ML models and in using Python and SQL (or equivalent)Advanced English levelThis position is not eligible for Intel immigration sponsorship.Preferred Qualifications:Experience using GithubExperience using Cloud FoundryExperience using KubernetesExperience using other cloud deployment platformsOO programming in PythonPython package creation and managementAPI design experienceExperience working with mathematical optimization algorithmsKnowledge of time series Machine Learning algorithmsknowledge of Deep Learning algorithms1yr experience working with LinuxExperience creating visualizations for complex (multi-variate) data setsDistributed computing protocols and languages, like HTTP, Rest, HTML, CSSGeneral/conceptual knowledge of browser programming languages like javascript / typescriptInside this Business GroupEnable 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.Posting StatementAll qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.BenefitsWe offer a total compensation package that ranks among the best in the industry.
It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation.
Find more information about all of our Amazing Benefits This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site.
In certain circumstances the work model may change to accommodate business needs.
