Senior Machine Learning Engineer, SAP Application AI Team

Job Summary

We are seeking a highly motivated Senior Machine Learning Engineer to join our team and work directly with customers on challenging business problems. In this role, you will apply advanced machine learning and data science techniques to develop rapid prototypes, deliver business value, and push the boundaries of what is possible with AI. You will work across customer projects, strategic product development, and research initiatives making a real-world impact from day one.

This position is ideal for an experienced AI professional with a strong technical foundation, business acumen, and a passion for bridging research innovation with practical business applications. In this position, you will work on cutting-edge AI projects with direct customer impact.

What You Bring

• Master's degree or PhD in Computer Science, Applied Mathematics, Statistics, Engineering, or related field
• 5+ years of experience in machine learning, data science, or AI research (industry, research lab, or advanced academic projects)

Technical Skills

• Strong background in machine learning, deep learning, data mining, and/or optimization
• Proficiency with Python and machine learning libraries (e.g., PyTorch, TensorFlow, scikit-learn)
• Extensive experience working with real-world datasets, data preprocessing, and model deployment
• Expertise working with cloud environments (AWS, Azure, GCP)
• Solid understanding of MLOps, CI/CD for ML, monitoring
• Ability to translate abstract business challenges into concrete AI solutions
• Strong analytical, problem-solving, and mathematical modeling skills
• Curiosity and initiative in exploring new AI techniques and applications
• Ability to collect and process necessary data utilizing big data infrastructures and data processing/transformation tools such as Databricks
• Write production-grade Python code
• Excellent communication and collaboration skills, especially in customer-facing environments
• Commitment to ethical and explainable AI practices
• Significant experience with agile software development methods

What You Build

Collaborating with product engineering leaders, executives, customers and other senior stakeholders, you will plan, direct, and deliver prototype and production grade AI solutions for strategic business problems.

Mathematical Modeling Algorithm Design

• Translate complex business problems into mathematical or computational models.
• Design, implement, and optimize machine learning algorithms and data mining workflows

Rapid Prototyping Customer Engagement

• Collaborate directly with customers to understand business needs, define requirements, and deliver proof-of-concept as well as production-grade AI solutions
• Build, integrate, and test AI-driven prototypes and applications for real-world use cases

AI Development Research

• Support internal teams by designing and implementing novel machine learning algorithms
• Apply recent research breakthroughs to practical problems to create measurable business value
• Contribute to continuous improvement of system scalability, performance, and explainability

Communication Collaboration

• Clearly communicate complex results and insights to both technical and non-technical stakeholders
• Visualize and document findings to ensure transparency and reproducibility
• Work cross-functionally with product, engineering, and research teams to drive AI adoption
• Due to the global nature of the team and the customers we serve, the team is completely results-oriented, where team members work during their own local working hours while allowing time to meet with their fellow team members, managers, and customers at mutually convenient times.

Where You Belong

The Intelligence Team within Application AI is the team responsible for performing advanced RD and AI application development for SAP Autonomous Suite. Our solutions work across SAP business applications to deliver on the company's autonomous enterprise promise. We are a group of globally distributed AI scientists and engineers that collaborate in a multidisciplinary environment with customers, product managers, and full-stack engineers. In this role, you will gain exposure to diverse problem domains; no two projects are the same. We foster a culture of innovation where new ideas are encouraged and valued.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.