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Sap Ixp Intern - Ml Engineer

Company

SAP

Address Toronto, Ontario, Canada
Employment type FULL_TIME
Salary
Category IT Services and IT Consulting,Software Development,Business Consulting and Services
Expires 2023-07-14
Posted at 11 months ago
Job Description
We help the world run better


Our company culture is focused on helping our employees enable innovation by building breakthroughs together. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. Apply now!


About The SAP Internship Experience Program


The SAP Internship Experience Program is SAP’s global, strategic, paid internship program that provides university students with opportunities to find purpose in their careers.


Three reasons to intern at SAP


  • Project-driven experience: gain cross-functional skills from our virtual and in-person learning sessions, diverse subject matter experts, and project deliverables.
  • Gain visibility: with SAP Internship Experience Program in your title, you’ll have a global network of SAP leaders, entrepreneurs and career development opportunities at your fingertips.
  • Culture of collaboration: meet with mentors, make new friends across the globe and create a thriving personal network.


What You’ll Do


Position title: SAP iXp Intern - ML Engineer


Location: Toronto


Expected start date and end date: July 2023 - March 2024


As an SAP CXII iXp Intern - ML Engineer, your role will be central to several innovative eCommerce projects. You'll be part of our dynamic team, working on projects like our Styling Assistant, an AI-powered tool that uses deep learning algorithms to provide users with personalized fashion suggestions and overlay them on your avatar using Augmented Reality. Further, you will also play a vital role in our Intelligent Catalog Management system, maximizing its utility by refining the feature set for better filtering, inventory management, and crafting intelligent recommendations. With tools like Maximus, our productivity assistant, you'll work on improving and deploying ML models to efficiently summarize data, identify action items, and streamline scheduling tasks based on user's meetings and emails. Your contribution will also extend to our newly upgraded AI services for the Customer Data Cloud, ensuring high-throughput and low-latency intrusion detection services. You will help optimize, and test, our Intelligent Search Services, Configure Price Quote tools, and other AI services for efficient product recommendation and replenishment suggestions. The work will also include MLOps, testing, and evaluation of these systems. In essence, your expertise as an ML Engineer will be crucial in driving efficiency, personalization, and intelligence in our eCommerce solutions.


As an SAP CXII iXp Intern - ML Engineer, your work will directly enhance the efficacy and efficiency of our eCommerce solutions, leading to improved personalization and customer experiences. This, in turn, will drive customer engagement, increase sales, and ultimately boost business growth. Your expertise will also contribute to enhanced operational efficiency and decision-making, providing a competitive edge in the rapidly evolving eCommerce landscape.


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.


  • Experience with Kubernetes for orchestrating containerized applications.
  • Proficient use of version control systems, particularly Git.
  • Strong foundational knowledge in Machine Learning.
  • Experience with containerization and orchestration tools, like Docker and Kubernetes.
  • Ability to work effectively in a fast-paced, team-oriented environment.
  • 2-3 years of experience coding in Python and 2 years of experience working in Machine Learning.
  • Experience with machine learning platforms and tools, such as TensorFlow, PyTorch, Scikit-Learn, and Keras.
  • Understanding of MLOps principles, including model development, deployment, and monitoring.
  • Excellent analytical and problem-solving skills.
  • Knowledge of data structures, algorithms, and software design principles.
  • Experience with Azure cloud platform.
  • Experience implementing machine learning solutions in a production environment.
  • Familiarity with DevOps tools and practices, with a focus on CI/CD pipelines.
  • Experience with test-driven development.
  • Knowledge of MLOps tools and practices, such as MLflow, Kubeflow, or Seldon.
  • Proficiency in Python.
  • Currently enrolled in or recently graduated from an undergraduate or graduate program in Computer Science, Engineering, Mathematics, Statistics, or a related field.
  • Familiarity with continuous integration/continuous delivery tools, such as Jenkins and ArgoCD.


Meet your team


As an SAP CXII iXp Intern - ML Engineer, you will be a part of a globally distributed team with colleagues in San Ramon, Toronto, and Hyderabad. This role will offer the unique opportunity to collaborate and engage with different teams within our organization, including data science and architecture. You'll be involved in cross-functional projects, leveraging collective knowledge and diverse perspectives to drive innovation and improve our eCommerce solutions.


We build breakthroughs together


SAP innovations help more than 400,000 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 200 million users and more than 100,000 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, we build breakthroughs, together.


We win with inclusion


SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world.


SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: [email protected]


For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.


EOE AA M/F/Vet/Disability


Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.


Successful candidates might be required to undergo a background verification with an external vendor.


Requisition ID: 374128 | Work Area: Administration | Expected Travel: 0 - 10% | Career Status: Student | Employment Type: Intern | Additional Locations: .