SAP iXp Intern

3 weeks ago


Vancouver, Canada SAP Full time

What you’ll do

Position Title: SAP iXp Intern - AI/ML Data Scientist

Location: Vancouver, BC

Expected Start Date: July 2024

Contract Duration: 12 months

Work Hours: 40 hours per week

The Plutus team is actively seeking an AI/ML Data Scientist Engineer Intern to improve our training recommendation models tailored for each hyperscaler. In this role, the intern will focus on enhancing recommendation accuracy and optimizing cloud costs, critical aspects of our platform's efficiency and user experience. By leveraging advanced AI and machine learning techniques, they will analyze data from various sources to refine our recommendation algorithms, ensuring they align seamlessly with the unique needs of different hyperscalers. This internship presents an exciting opportunity to delve into cutting-edge technologies, contribute to the optimization of cloud infrastructure, and drive innovation in our team.

What you bring

We’re looking for someone who takes initiative, perseveres, and stay curious. You like to work on meaningful innovative projects and are energized by lifelong learning.

Position Requirements: 

Design, develop, and deploy accurate forecasting models for capturing and predicting trends, patterns, and anomalies in business data. Conduct feature engineering to extract relevant features from the data that can enhance the accuracy of the forecasting models. Train and fine-tune forecasting models using various machine learning techniques such as regression, time series analysis and deep learning.  Evaluate the performance of the models using appropriate metrics and iterate on the models to improve their accuracy and robustness. Understanding of software applications, software development lifecycle, and development methodologies (Agile/Scrum)  Familiarity with development tools such as Git and JIRA  Flexibility to work with a global team in various time zones  Clear and concise communication, both verbal and written  Strong desire to interact with and learn from senior members of the team 

Nice to Have: 

Familiarity with hyperscalers like AWS, Azure, GCP, & basic understanding of cloud cost management  Proficiency in Python and experience with ML frameworks Understanding of statistical modeling techniques, time series analysis, and forecasting methodologies Understanding of issues and opportunities of applying ML for forecasting and recommendations Experience in cleaning, preprocessing, and transforming business data Experience in SAP BTP Cloud Foundry environment and BTP services Familiarity with cloud providers such as AWS, Azure, GCP Ability to work in an agile environment using Scrum methodology Strong communication and collaboration skills, with the ability to work effectively in English

Educational requirements: 

Currently studying or have recently completed an undergraduate or graduate program in Data Science, Machine Learning, Computer Science, Statistics, Information Technology/Information Systems

Meet your team

The Plutus team is actively seeking an AI/ML Data Scientist Engineer Intern to improve our training recommendation models tailored for each hyperscaler. In this role, the intern will focus on enhancing recommendation accuracy and optimizing cloud costs, critical aspects of our platform's efficiency and user experience. By leveraging advanced AI and machine learning techniques, they will analyze data from various sources to refine our recommendation algorithms, ensuring they align seamlessly with the unique needs of different hyperscalers. This internship presents an exciting opportunity to delve into cutting-edge technologies, contribute to the optimization of cloud infrastructure, and drive innovation in our team.

Bring out your best

SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.


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