Senior MLOps Engineer

Prague 5, CZ, 158 00

SAP

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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!

 

 

We seek a Senior MLOps Engineer to lead and enhance engineering initiatives focused on model deployment, microservice maintenance, and ML automation. This role will be vital in aligning our efforts with SAP’s vision, technology stack, and industry advancements.

 

What You’ll Do:

 

  • Work on next-generation SAP AI solutions for the enterprise domain.
  • Collaborate with data scientists and engineers to transition ML models into production-ready services.
  • Enhance system quality and scalability through ongoing evaluation, analysis, and refinement.
  • Design and develop large-scale training and deployment systems utilizing multiple GPUs, dedicated hardware, multi-threading, and parallel processing.
  • Support developing and fine-tuning Large Language Models (LLMs) such as GPT, BERT, and Transformer architectures for Enterprise AI applications.

 

What You Bring:

 

  • Proficiency in automation using Docker, Kubernetes, and Helm charts to streamline deployment and management of applications.
  • Expertise in Python and its relevant ML libraries (e.g., Scikit-learn, TensorFlow, and pretrained transformers).
  • Strong analytical and problem-solving skills and a passion for machine learning and automation.
  • Creative thinking and a proactive attitude toward learning new concepts and technologies.
  • Familiarity with modern DevOps practices and the ability to implement a CI/CD process (e.g., using Jenkins).
  • Fluency in both written and spoken English.

 

Tech You’ll Learn:

 

  • An ML training pipeline based on cloud tools and the latest ML and AI technology advancements.
  • Best practices for containerization and orchestration using Docker and Kubernetes.
  • Emerging trends in machine learning frameworks and tools to enhance your skill set.

 

Meet your team  

 

As Intelligent Spend and Business Network, we play a crucial role in addressing our customers' end-to-end procurement, travel and expense, and external workforce needs with visibility and agility across the entire supply chain. 

 

 

 

 

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: 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: 392875  | 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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture BERT CI/CD DevOps Docker Engineering GPT Helm Jenkins Kubernetes LLMs Machine Learning ML models MLOps Model deployment Python Scikit-learn TensorFlow Transformers

Perks/benefits: Career development Flex hours

Region: Europe
Country: Czechia

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