דרושים Ai/ml Scientist - Generative Ai Knowledge Graph ב-Sap ב-ארהב

SAP Ariba is seeking a highly skilledto drive the success of our advanced analytics-based applications. In this role, you will be responsible for defining the architecture, strategy, and technical vision for next-generation analytics solutions that are

What you'll do:

You will collaborate closely with:

• Product Managers to translate business requirements into technical solutions.
• Engineering Teams to architect, design, and oversee implementation.
• Engineers to mentor and guide them in building innovative analytics-driven applications.

• Architect, design, and implement end-to-end analytics solutions that enable data-driven decision-making.
• Develop high-performance, scalable data management and analytics architectures.
• Integrate modern data engineering and analytics technologies into existing systems.
• Establish best practices for data modeling, data mining, and real-time analytics .
• Lead the development of custom analytics applications and AI-driven insights .
• Work with cross-functional teams to ensure seamless data integration and governance.
• Define and implement disaster recovery and high-availability strategies.
• Continuously evaluate and recommend improvements to enhance data reliability, performance, and quality .

• Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field .
• 10+ years of professional experience in product development, analytics, and architecture .
• Strong ability to work in an agile environment and cross-functional global teams.
• Excellent communication, presentation, and strategic thinking skills.
• Proven expertise in translating complex technical concepts into business-friendly insights .

• Proficiency in Java, Python, Scala, or GoLang for analytics and data-driven application development.
• Expertise in SAP HANA and cloud environments (AWS, Kubernetes, GCP, or Azure) .
• Strong knowledge of AI/ML models , including large language models (LLMs).
• Deep understanding of data structures, algorithms, design patterns, and OOAD .
• Hands-on experience with Relational and Non-relational databases .
• Expertise in data pipelines, job scheduling, and ETL frameworks .
• Experience working with Big Data ecosystems (Spark, Hive, Hadoop) is a plus.

• Strong background in API development and procurement business processes .
• Knowledge of data security, compliance, and governance best practices .
• Ability to drive innovation and continuous improvement in analytics architecture.
• Self-driven, highly motivated, and a passion for solving complex data challenges

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We win with inclusion

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

What you’ll build
The Role:
• Unique opportunity to develop a Foundation Model on structured business data.
• Design and implement scalable pipelines and models, address open challenges and lead project workstreams.
• Conduct experiments and perform rigorous evaluations to measure the performance and effectiveness of the developed models.
• Spearhead engineering and architecture efforts to move model experiments into production
• Work with large scale tabular enterprise data, optimize and fine-tune models to improve accuracy, scalability, and interpretability.
• Stay up to date with the latest advancements in the field of Deep Learning, Foundational Models, and Generative AI

What you bring
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or other relevant disciplines. PhD is a plus.
• 5+ years of related professional experience incl. 3+ years hands-on experience with Machine Learning on structured/tabular enterprise data such as in the ERP or CRM domain.
• Experience with implementing data preprocessing pipelines for relational structured data
• Deep understanding of Machine Learning algorithms and techniques, particularly in the context of structured data. Experience with Foundation Models, Transformer Models, or Deep Learning with their application in a business context.
• Software engineering excellence in Python and proven experience with ML frameworks such as PyTorch or TensorFlow
• Strong communication and collaboration skills, with the ability to work effectively in cross-cultural teams

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Job Segment:ERP, Cloud, Computer Science, Software Engineer, Scientific, Technology, Engineering

The Role

Key responsibilities include:

• Define and execute the marketing strategy for AI Foundation, ensuring clear positioning and differentiation in the enterprise AI landscape.

• Craft compelling messaging and storytelling to communicate AI Foundation’s value to enterprise customers, technical buyers, developers, and business leaders.

• Develop high-quality demonstrations that showcase AI Foundation’s capabilities across SAP solutions, ensuring strong narratives for marketing moments, events, and press engagements.

• Lead cross-functional collaboration across SAP’s marketing and product teams to ensure a cohesive approach to AI Foundation’s positioning and customer engagement.

• Orchestrate go-to-market plans for AI Foundation, ensuring strong alignment across digital marketing, content, field enablement, and demand generation efforts.

• Track AI market trends, competitive positioning, and customer feedback to influence product roadmaps and marketing strategy for AI Foundation.

• Engage with customers, analysts, and industry influencers to establish SAP’s thought leadership in AI-powered enterprise productivity.

• Drive product marketing excellence by aligning AI Foundation’s messaging with SAP’s broader Business AI strategy and ensuring its successful integration across SAP’s ecosystem.

• Drive thought leadership efforts by creating and amplifying content such as blogs, whitepapers, customer stories, and executive presentations, as well as identifying opportunities for speaking engagements, webinars, and industry events.

Experience & Skills:

• Clear understanding of tech-driven business solutions, particularly AI and enterprise AI adoption trends.

• Experience leading B2B product marketing for AI-powered or cloud-based solutions, focusing on messaging, positioning, and go-to-market execution.

• Demonstrated experience in developer marketing, including engaging technical audiences, creating developer-centric content, and driving adoption of tools and capabilities among the developer ecosystem.

• Strong ability to translate technical concepts into compelling marketing narratives for business leaders and technical decision-makers.

• Storytelling expertise, with a track record of creating high-impact content, keynote presentations, and engaging demo experiences.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Seattle
Bellevue

1. : meet with mentors, make new friends across the globe and create a thriving personal network.
2. Project-driven experience : gain cross-functional skills from our virtual and in-person learning sessions, diverse subject matter experts, and project deliverables.
3. 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.

What you'll do:

• Engage with the latest BTP and Generative AI technologies, applying them to solve real-world business challenges
• Collaborate globally with cross-functional teams to design, prototype, and test innovative solutions within the BTP ecosystem.
• Participate in ideation sessions and contribute to planning of new technology implementations.

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.

• Currently pursuing a Full-time master’s degree in computer science or a related field; knowledge and experience in Generative AI, machine learning, or data analytics would be advantageous.
• Familiarity with mainstream programming languages , such as Python, TypeScript/JavaScript, or Java.
• Structured and self-organized working style with strong attention to detail and a commitment to quality.
• Team player who feels comfortable working in an international atmosphere.
• Curious, goal-oriented individual who is hands-on and ready to thrive in an agile environment, tackling short-cycle projects with academic partners and internal project stakeholders.
• Strong communication skills in English.
• Can work for 3-4 days a week for at least 6 months on site

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

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Three reasons to intern at SAP:

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

What you bring

As a software development intern, you’ll ideally bring to the table

• Solid programming logic skills
• Some experience developing in at least one programming language
• Strong problem solving, pro-active and collaborative mindsets
• Self-learner, eager to explore new things.Basic understanding of Agile software development practices
• Currently enrolled on an undergraduate course directly related to software development
• Fluency in both written and spoken in English

You may have an edge if you bring skills/experience with:

• Full-stack developmen
• JavaScript/TypeScript and Node.js, and/or Java
• Experience in the full life cycle of software development, from design and implementation to testing and deployme

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

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our

Please note that any violation of these guidelines may result in disqualification from the hiring process

Three reasons to intern at SAP

• Culture of collaboration: Meet with mentors, make new friends across the globe, and create a thriving personal network.
• 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.

What you’ll do

Expected Start Date:September 2025

Contract Duration:12 months

Work hours:20 or 40 hours/week

As a Data Scientist Intern in the Customer and Competitive Market Intelligence (CMI) group, you will bring the power of experience data to SAP in support of SAP corporate goals, including: to be #1 in Customer Satisfaction. You will help grow and optimize our customer and Partner experience measurement programs to deliver deeply impactful Experience Management (XM) insights to business stakeholders. Your primary responsibilities will include:

• Collaborating with cross-functional teams to gather requirements for data integrations.
• Developing and implementing project plans for data engineering, analysis and visualization based on the needs of internal stakeholders.
• Training and supporting teams on data usage and results interpretation best practices.
• Developing and maintaining data engineering and analytic processes to support XM program targeting, analysis requirements and program expansion.

• Running statistical analysis using methods like correlation, ANOVA, regression.

• Applying Large Language Models (LLMs), including prompt engineering, to synthesize key insights
• Working with transformer-based models (e.g., BERT, GPT) for natural language processing tasks
• Troubleshooting technical issues related to data and systems in the SAP data warehouse and data lake environments.
• Identifying areas for improvement and implementing changes to enhance the efficiency and functionality of data engineering and analysis processes

What you bring

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

• Education: Bachelor’s or Master’s degree in an analytical field like Data Science, Computer Science, Mathematics/Statistics, Business Analytics, Economics, Marketing, Finance, or Social Science.
• Experience: Prior experience in data mining, advanced data manipulation, statistical analysis, and LLM processing, working with cloud-based computing platforms and big data tools.
• Technical Skills: Proficient in data engineering techniques, skilled in topic modeling and sentiment analysis of unstructured data, experienced in LLM prompt engineering to generate key insights from unstructured data, competence in statistical techniques such as correlation ANOVA, and regression, fluency in Python, SQL, Excel and PowerPoint. Experience with Databricks is helpful.
• Problem-Solving: Strong problem-solving skills, including the ability to undertake analyses, synthesize findings/recommendations, articulate a storyline, and create and conduct high-impact presentations.
• Independence: Ability to work independently and manage multiple projects simultaneously.
• Interpersonal Skills: Superior interpersonal skills; ability to build relationships across SAP functional areas, geographies and hierarchical levels.
• Industry Knowledge: Base understanding of the software industry and its competitive landscape.
• Flexibility: Highest level of flexibility, integrity, and confidentiality.

Take advantage o

We win with inclusion

Orange County
Los Angeles

What you'll do

This position requires the ability to work and communicate in a dynamic, interdisciplinary and intercultural team in an agile and efficient way. As a thought leader in Machine Learning ,you appreciate the possibility for learning and personal development and therefore you keep track of the latest developments and share your knowledge actively with others. You will be working with and leading teams to successful projects in the context of Machine Learning Technology.

What you bring

• Degree in Computer Science, Information Technology, Mathematics, Physics or Data Science
• 3 or more years relevant work experience
• Good overview of Machine Learning trends and technology, like Generative AI and LLM
• Experience in implementation of Machine Learning solutions and platforms
• Knowledge and experience in Machine Learning Programming Frameworks, like TensorFlow or scikit
• Programming skills like Java, Python, JavaScript, NodeJS, Jupyter Notebook, ABAP (good to have)
• Database Knowledge
• Web and Cloud Computing Knowledge
• Ideally SAP applications and technologies (S/4 HANA and BTP) and/or SAP systems integrations
• Customer engagement and implementation experience
• Fluency in English (written and spoken)
  

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our

Please note that any violation of these guidelines may result in disqualification from the hiring process.

San Jose
Palo AltoJob Segment:Cloud, ERP, Information Technology, IT Manager, Project Manager, Technology