Cloud Data & ML Platform Engineer (DevOps/MLOps)

Key Skills

AWS, Azure, Data science techniques, Databricks, Effective communication skills, Google Cloud Platform (GCP), Java Programming, Machine learning techniques, Presentation skills, Python Programming, SPARK Programming, Vue.js

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! 

The development center of SAP in Bulgaria is technology-focused and plays a key role in the defining and developing of the SAP Business Technology Platform. More than 90% of the teams work on cloud-related projects. With its more than 1350 professionals, SAP Labs Bulgaria also has strong contributions towards life-cycle management, user interface & user experience across the broader portfolio of SAP products. For its 22-year history, the company has established itself as a preferred employer in the IT sector in Bulgaria.”

What you`ll do

SAP Intelligent Enterprise Solutions (IES) organization, also known as SAP IT, has the purpose to “Deliver and Run the Intelligent Enterprise”.

IES is SAP’s technology backbone and most compelling SAP reference customer, and as such, we influence SAP product development and strategy, with our customer experience at heart.

We’re looking for a Junior Big Data and Machine Learning Platform Engineer, with an entrepreneurial spirit to join our diverse team and work on innovative projects. 

The Role 

As a Junior Big Data and Machine Learning Platform Engineer, you will:

• Contribute to the implementation of best-in class services for our SAP Data Platforms, industrializing the entire Data Engineering pipelines and Machine Learning solutions life cycle (MLOps)

• Work closely with product managers/product owners, scrum masters/release train engineers, AI/data scientists, data engineers, AI developers

• Get involved in all aspects of entire solution lifecycle starting from ideation to creation & operationalizing 

Responsibilities 

Develop & Operate high quality Data & Machine Learning platform services for large enterprise

• Design, code and test new product features by following agile development practices

• Demonstrate excellent quality, design, development and delivery skills in scrum teams working in short development and release cycles

• Collaborate with SAP Data and AI product development to influence the roadmap of our SAP standard products

What you bring

Bachelor‘s or master’s degree in business informatics, computer science, engineering or related technical fields. Students are welcome to apply

• Can-do attitude, result-oriented, problem-solving, and positive mindset

• Excellent interpersonal, communication, and presentation skills in English, incl. ability to communicate complex concepts in simple form to non-technical audience

• Interest in Big Data, Data Science, AI, Machine Learning and MLOps issues

• Good knowledge in Python

• Interest in Cloud Data & AI technologies (eg Microsoft Azure Data & AI services, Databricks / Spark, AWS, GCP)

You are either familiar with or at least curious about

SAP BTP Data and AI technologies (eg HANA Cloud, AI Core and AI Launchpad)

• SAP BTP or equivalent JavaScript UI Development Frameworks (e.g., SAP UI5, Angular, Vue.js) and Server-Side API Development Frameworks (e.g., Java Spring Boot) is a plus

This job is a great opportunity to leverage your Developer and DevOps knowledge and to embrace the dynamic field of Data & Machine Learning.

Meet your team

Within IES, and as part of the “Technology Services - Data Science, AI and Big Data” unit, our “Big Data & Machine Learning Foundation” team design, implement and operate the data lake and machine learning platform services of the Data Platforms of the company.

We are a very international and diverse team of Data & Analytics Technical Experts and Developers, highly motivated to help SAP to create value for its Customers, by leveraging all available data, in a responsible way