About the Role
We are seeking a highly motivated 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’s possible with AI. You will work across customer projects, product development, and research initiatives making a real-world impact from day one.
This position is ideal for an AI professional with a strong technical foundation and a passion for bridging research innovation with practical business applications. In this position, you will have the opportunity to work on cutting‑edge AI projects with direct customer impact.
What You’ll Do
- Mathematical Modeling & Algorithm Design
- Translate complex business problems into mathematical or computational models.
- Design, implement, and optimize machine learning algorithms and data mining workflows
- Collaborate directly with customers to understand business needs, define requirements, and deliver proof‑of‑concept 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
- 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.
What You Bring
Education & Experience
- Master’s degree or PhD in Computer Science, Applied Mathematics, Statistics, Engineering, or related field
- 1–3 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 (PyTorch, TensorFlow, scikit‑learn)
- Experience working with real‑world datasets, data preprocessing, and model deployment
- Familiarity with cloud environments (AWS, Azure, GCP)
Core Competencies
- 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
- Familiarity with agile software development methods
Meet Your Team
The Intelligence Team within Application AI is the team responsible for performing advanced R&D and AI application development for SAP Business Suite Finance & Spend. Our solutions work across SAP business applications to deliver on the company’s suite‑first, AI‑first promise. We are a group of globally distributed AI scientists 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.
Please note, this is fixed‑term limited 6 months paid contract.
Equal Employment Opportunity
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
Successful candidates might be required to undergo a background verification with an external vendor.
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