< Back to search
SAP • Bangalore, IN

Machine Learning Engineer

Job Description

We help the world run better

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. 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.

What you’ll do:

Join an innovative team working on impactful AI use cases and cutting-edge technologies. As a Data Scientist, you will collaborate closely with customers, domain experts, and cross-functional teams to design and implement AI-powered solutions.

• Participate in discovery workshops to understand customer requirements and identify opportunities for leveraging AI and machine learning.

• Develop and implement data models and machine learning algorithms to address specific business challenges.

• Analyze structured and unstructured datasets to extract insights and drive decision-making.

• Collaborate with full-stack developers and solution architects to operationalize AI models in scalable cloud environments.

• Continuously experiment with and adopt new AI/ML frameworks, tools, and technologies to enhance solution effectiveness.

• Document best practices, methodologies, and lessons learned to build organizational knowledge.

Why this is an exciting opportunity:

This role allows you to work on transformative customer AI innovation use cases while leveraging the latest technologies such as SAP AI Core, SAP AI Launchpad, and hyperscalers like AWS, Azure, and GCP. It’s an excellent opportunity to deepen your expertise in AI, data science, and cloud technologies while creating solutions that deliver measurable business value.

What you bring:

• 4-8 years of experience in data science, AI, or machine learning roles.

• Proficiency in programming languages such as Python or R and experience with machine learning libraries like TensorFlow, PyTorch, or Scikit-learn.

• Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques.

• Experience with cloud-native platforms such as SAP BTP, AWS, Azure, or GCP.

• Familiarity with data visualization tools such as Tableau, Power BI, or Matplotlib.

• Exposure to SAP AI Foundation Stack including SAP AI Core, AI Launchpad and Generative AI hub will be a big plus.

• Strong analytical thinking, problem-solving skills, and a collaborative mindset.

Meet your team:

SAP Customer Innovation Services Engineering is a global organization dedicated to delivering AI-powered solutions tailored to customer challenges. Our mission is to accelerate Business AI adoption, create measurable business impact, and ensure customers derive value from cutting-edge AI and cloud solutions.

Bring out your best

SAP innovations help more than four hundred thousand 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 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. At SAP, you can bring out your best.

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: Careers@sap.com
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: 407008 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.

Company benefits

25 (UK) 30 (Germany) 21 (India) days annual leave + bank holidays
Accrued annual leave – 1 day/year up to 30 days (UK)
Open to job sharing
Sabbaticals
Adoption leave – Up to 52 weeks (UK)
Open to part time work for some roles
Returnship
Equity packages
Shared parental leave
Enhanced maternity leave
Fertility benefits
Pregnancy support
On-site childcare
Share options
Electric Car Salary Sacrifice
Gym membership
Dental coverage
Health insurance
Private GP service
Mental health platform access
Life assurance
Life insurance
Enhanced pension match/contribution
Enhanced paternity leave
Travel insurance
Cycle to work scheme
On-site gym
Bike parking
Enhanced sick pay
Emergency leave
Enhanced sick days
Company car
Open to part-time employees
Work from anywhere scheme
Childcare credits
Fertility treatment leave
Pregnancy loss leave
Carer’s leave
Nursery salary sacrifice scheme
Family health insurance
Women’s health leave
Annual bonus
401K
Referral bonus
Joining bonus
Employee discounts
Loyalty programme
Non-contributory pension
Personal development days
Personal development budgets
L&D budget
Language lessons
LinkedIn learning license
Study support
Studying sabbaticals
Lunch and learns
In house training
Hackathons
Professional subscriptions
Further education support

Working at SAP

Company employees:

107,000

Gender diversity (m:f):

65:35

Hiring in countries

Argentina

Australia

Austria

Bahrain

Belgium

Brazil

Bulgaria

Canada

Chile

China

Colombia

Costa Rica

Czechia

Denmark

Egypt

Finland

France

Germany

Greece

Hong Kong

Hungary

India

Indonesia

Iraq

Ireland

Israel

Italy

Japan

Kuwait

Malaysia

Mexico

Morocco

Netherlands

New Zealand

Norway

Oman

Pakistan

Panama

Philippines

Poland

Portugal

Qatar

Romania

Saudi Arabia

Serbia

Singapore

Slovakia

Slovenia

South Africa

South Korea

Spain

Sweden

Switzerland

Taiwan

Thailand

Türkiye

Ukraine

United Arab Emirates

United Kingdom

United States

Vietnam

Office Locations

Other jobs you might like