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Location

Mougins, Alpes Maritimes | France

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Job description

We help the world run better

Our company culture is focused on helping our employees enable innovation by building breakthroughs together. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.Apply now !

SUMMARY

We are seeking a highly skilled Machine Learning Engineer to join our multinational team of experts, focused on addressing service and support challenges within our organization. The ideal candidate will leverage their knowledge in machine learning, data analysis, and problem-solving to develop innovative solutions that enhance customer experience and improve operational efficiency. You will collaborate with cross-functional teams to identify opportunities, design and implement machine learning models, and continuously refine our approaches. Your expertise will play a critical role in advancing our mission to deliver exceptional service and support to our global customers.

THE ROLE
- BE in charge of the entire machine learning lifecycle (research, design, experimentation, development. deployment)
- Implement machine learning algorithms and libraries
- Design and develop large scale training and deployment systems, using multiple GPU's and servers, dedicated H/W, Multi-threading and Parallelization
- Collaborate with data engineers to develop data and model pipelines
- Apply machine learning and data science techniques and design distributed systems
- Write production-level code, bring code to production, engage in code reviews

EDUCATION AND QUALIFICATIONS / SKILLS AND COMPETENCIES
- PhD degree in Data Science or Machine Learning
- 3-8 years of Industry experience with writing code (e.g. Python) and taking ML models/ algorithms from conception to production, designing and implementing machine learning pipelines in production environments
- Extensive knowledge of machine learning evaluation metrics and best practices, as well as experience in building, formalizing and evaluating of machine learning model
- Solid expertise in Doker, Kubernetes, KubeFLow, MLFlow
- Strong analytical skills, results-oriented, customer-oriented attitude, good strategical and conceptual thinking skills
- Ability to present complex information in a clear and concise manner

TEAM/LINE OF BUSINESS

As Customer eXperience & Solutions (CXS) team, we develop products & solutions that enable digital transformation for our customers.

The CXS Service and Support Data Lake team belongs to the Product Engineering (PE) board area.

Our team focuses on development of AI based services for SAP customers as well as SAP employees working in Services and Support.

#SAPCXS

We build breakthroughs together

SAP innovations help more than 400, 000 customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, 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 200 million users and more than 100, 000 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. At SAP, we build breakthroughs, together.

We win with inclusion

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 and more equitable world.
SAP is proud to BE an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team : @.**
For SAP employees : Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

EOE AA M/F/Vet/Disability :

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Successful candidates might BE required to undergo a background verification with an external vendor.

Requisition ID : 375426 Work Area : Software-Design and Development Expected Travel : 0 - 10% Career Status : Professional Employment Type : Regular Full Time Additional Locations : #LI-Hybrid.

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