About The Position

We are seeking a highly motivated Machine Learning Engineer Expert 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 a seasoned 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.

Requirements

  • Master’s degree or PhD in Computer Science, Applied Mathematics, Statistics, Engineering, or related field
  • 10+ years of experience in machine learning, data science, or AI research (industry, research lab, or advanced academic projects)
  • 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)
  • 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
  • English-language resumes are required for this position. Please submit your application details (resume/cover letter) in English.
  • Functional proficiency in English is required for positions based in the Quebec.

Responsibilities

  • 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.
  • 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
  • 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

Benefits

  • Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
  • SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.
  • SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management.
  • As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development.
  • Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves.
  • SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best.
  • At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential.
  • We ultimately believe in unleashing all talent and creating a better world.
  • SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities.
  • SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP’s commitment to pay equity.
  • A summary of benefits and eligibility requirements can be found by clicking this link: www.SAPNorthAmericaBenefits.com.
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