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!
- You must be flexible for 80-100% travel
What You’ll do:
- You will apply your understanding of machine learning and business and technical knowledge to real-world challenges.
- You will leverage SAP Business Technology Platform (BTP) and related services to assist clients in improving their business operations and outcomes.
- Your role will entail positioning, solutioning, and implementing SAP BTP and SAP AI in demanding customer projects.
- You will participate in all phases of the engagement lifecycle, from pre-sales and solutioning, through to implementation and the go-live stage.
- You will build sustainable relationships and impress customers, partners, and colleagues with your trusting leadership.
- You will participate, contribute, and help build and expand the AI practice and mentor colleagues as needed.
What you Bring:
- Proven experience developing solutions with SAP Business Technology Platform, ideally in combination with SAP ERP/SAP S/4HANA
- A solid understanding of AI modeling and methodology and tools in addition to general AI/ML.
- Prior experience in conceiving microservice environments including containerization and implementation with Cloud Foundry, Kubernetes, Kyma, or SAP AI Core
- Deep knowledge of software development with Python and JavaScript. Experience with others such as SAP UI5, ABAP, or JAVA is a plus.
- A strong understanding of machine Learning and AI frameworks such as PyTorch, TensorFlow, SAP HANA APL/PAL, scikit-learn, and their application to business environments.
- Prior experience with cloud/hybrid machine learning, data integration, data modeling, data analysis, integrations, and the development of applications and architectures
- Extensive knowledge in statistics, probability, and linear algebra with superior analytical skills.
- Exceptional presentation and facilitation skills, with the ability to effectively communicate complex information.
- Team-oriented with demonstrated leadership and mentoring skills.
- A minimum of 5-7 years of relevant professional experience and a relevant college degree.
We win with inclusion
San Jose
Palo Alto