Job Description

　　Key responsibilities include the following:

　　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, and/or building and sustaining AI productization platforms.

　　The ideal candidate will have the following behavioral traits:

　　• Great analytical skills and demonstrated ability of independent and creative thinking.

　　• 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.

　　Qualifications

　　Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

　　Minimum Qualifications:

　　• Candidates need to hold at least a bachelor's degree (or higher) in Computer Science/Machine Learning/AI/Data Science with 4+ years relevant experience

　　• 3+ years of relevant experience in building AI/ML models and in using Python and SQL (or equivalent).

　　2+ years of relevant experience in the following:

　　• Using data analysis techniques and ML methods like classification, regression pattern finding, clustering, dimensionality reduction, anomaly detection etc.

　　• Knowledge of classical AI algorithms and Deep Learning techniques.

　　• Creating powerful data driven visualizations to describe ML modeling results to stakeholders

　　Preferred Qualifications:

　　• Proficient in using Python (numpy & pandas), Scikit-learn, and NN frameworks (Tensorflow and/or PyTorch) to solve supervised/unsupervised problems.

　　• Experience using traditional Time series forecasting techniques (ARIMA, ETS, etc.)

　　• Understanding the concept of Bayesian and probabilistic machine learning framework

　　• Programming experience in R

　　• Thorough knowledge of advanced data structures.

　　Inside this Business Group

　　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.

　　Posting Statement

　　All 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.

　　Benefits

　　We 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 here.

　　Working Model

　　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.