Machine Learning Engineer 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. 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. Position is ideal for a seasoned AI professional with a strong technical foundation, business acumen, and a passion for bridging research innovation with practical business applications. 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 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. 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. Application Requirement English‑language resumes are required. Submit your resume and cover letter in English. 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). Extensive 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 data utilizing big data infrastructures and processing 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 responsible for advanced R&D and AI application development for SAP Business Suite Finance & Spend. The team is globally distributed and collaborates with customers, product managers, and engineers. Compensation & Benefits Annualized compensation range: 77,500–166,200 CAD. Benefits include health, dental, vision, retirement plans, and more. SAP is committed to equal employment opportunity and offers accessibility accommodations. #J-18808-Ljbffr